�ݺ�ߣshows by User: ontotext

�ݺ�ߣshows by User: ontotext / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: ontotext / Wed, 25 Sep 2024 09:56:01 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: ontotext Graph RAG Varieties and Their Enterprise Applications /slideshow/graph-rag-varieties-and-their-enterprise-applications/272011059 graphragvarieties-ldbc-240925095602-52252b0c
This is the presentation of Atanas Kiryakov, CEO at Ontotext, who talked about Graph RAG varieties and the need for AI models complementary to the LLMs at the regular Technical User Community meeting of LDBC in 2024]]>
This is the presentation of Atanas Kiryakov, CEO at Ontotext, who talked about Graph RAG varieties and the need for AI models complementary to the LLMs at the regular Technical User Community meeting of LDBC in 2024]]> Wed, 25 Sep 2024 09:56:01 GMT /slideshow/graph-rag-varieties-and-their-enterprise-applications/272011059 ontotext@slideshare.net(ontotext) Graph RAG Varieties and Their Enterprise Applications ontotext This is the presentation of Atanas Kiryakov, CEO at Ontotext, who talked about Graph RAG varieties and the need for AI models complementary to the LLMs at the regular Technical User Community meeting of LDBC in 2024 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/graphragvarieties-ldbc-240925095602-52252b0c-thumbnail.jpg?width=120&height=120&fit=bounds" /> This is the presentation of Atanas Kiryakov, CEO at Ontotext, who talked about Graph RAG varieties and the need for AI models complementary to the LLMs at the regular Technical User Community meeting of LDBC in 2024

Graph RAG Varieties and Their Enterprise Applications from Ontotext

]]> 70 0 https://cdn.slidesharecdn.com/ss_thumbnails/graphragvarieties-ldbc-240925095602-52252b0c-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 EligibilityDesignAssistant_demo_slideshare.pptx.pdf /slideshow/eligibilitydesignassistant_demo_slideshare-pptx-pdf/270015064 eligibilitydesignassistantdemoslideshare-240702091847-7d1de072
Ontotext’s Clinical Trials Eligibility Design Assistant helps with one of the most challenging tasks in study design: selecting the proper patient population.]]>
Ontotext’s Clinical Trials Eligibility Design Assistant helps with one of the most challenging tasks in study design: selecting the proper patient population.]]> Tue, 02 Jul 2024 09:18:47 GMT /slideshow/eligibilitydesignassistant_demo_slideshare-pptx-pdf/270015064 ontotext@slideshare.net(ontotext) EligibilityDesignAssistant_demo_slideshare.pptx.pdf ontotext Ontotext’s Clinical Trials Eligibility Design Assistant helps with one of the most challenging tasks in study design: selecting the proper patient population. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eligibilitydesignassistantdemoslideshare-240702091847-7d1de072-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ontotext’s Clinical Trials Eligibility Design Assistant helps with one of the most challenging tasks in study design: selecting the proper patient population.

EligibilityDesignAssistant_demo_slideshare.pptx.pdf from Ontotext

]]> 638 0 https://cdn.slidesharecdn.com/ss_thumbnails/eligibilitydesignassistantdemoslideshare-240702091847-7d1de072-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Property graph vs. RDF Triplestore comparison in 2020 /slideshow/property-graph-vsrdf-triplestore-comparison-in-2020/238617905 property-graph-vs-rdf-comparison-2020-ontotext-200923075443
This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020 ]]>
This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020 ]]> Wed, 23 Sep 2020 07:54:43 GMT /slideshow/property-graph-vsrdf-triplestore-comparison-in-2020/238617905 ontotext@slideshare.net(ontotext) Property graph vs. RDF Triplestore comparison in 2020 ontotext This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/property-graph-vs-rdf-comparison-2020-ontotext-200923075443-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation goes all the way from intro "what graph databases are" to table comparing the RDF vs. PG plus two different diagrams presenting the market circa 2020

Property graph vs. RDF Triplestore comparison in 2020 from Ontotext

]]> 18724 0 https://cdn.slidesharecdn.com/ss_thumbnails/property-graph-vs-rdf-comparison-2020-ontotext-200923075443-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes /ontotext/reasoning-with-big-knowledge-graphs-choices-pitfalls-and-proven-recipes reasoning-with-big-kg-2020-aug-final-200911074003
This presentation will provide a brief introduction to logical reasoning and overview of the most popular semantic schema and ontology languages: RDFS and the profiles of OWL 2. While automatic reasoning has always inspired the imagination, numerous projects have failed to deliver to the promises. The typical pitfalls related to ontologies and symbolic reasoning fall into two categories: - Over-engineered ontologies. The selected ontology language and modeling patterns can be too expressive. This can make the results of inference hard to understand and verify, which in its turn makes KG hard to evolve and maintain. It can also impose performance penalties far greater than the benefits. - Inappropriate reasoning support. There are many inference algorithms and implementation approaches, which work well with taxonomies and conceptual models of few thousands of concepts, but cannot cope with KG of millions of entities. - Inappropriate data layer architecture. One such example is reasoning with virtual KG, which is often infeasible. ]]>
This presentation will provide a brief introduction to logical reasoning and overview of the most popular semantic schema and ontology languages: RDFS and the profiles of OWL 2. While automatic reasoning has always inspired the imagination, numerous projects have failed to deliver to the promises. The typical pitfalls related to ontologies and symbolic reasoning fall into two categories: - Over-engineered ontologies. The selected ontology language and modeling patterns can be too expressive. This can make the results of inference hard to understand and verify, which in its turn makes KG hard to evolve and maintain. It can also impose performance penalties far greater than the benefits. - Inappropriate reasoning support. There are many inference algorithms and implementation approaches, which work well with taxonomies and conceptual models of few thousands of concepts, but cannot cope with KG of millions of entities. - Inappropriate data layer architecture. One such example is reasoning with virtual KG, which is often infeasible. ]]> Fri, 11 Sep 2020 07:40:02 GMT /ontotext/reasoning-with-big-knowledge-graphs-choices-pitfalls-and-proven-recipes ontotext@slideshare.net(ontotext) Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes ontotext This presentation will provide a brief introduction to logical reasoning and overview of the most popular semantic schema and ontology languages: RDFS and the profiles of OWL 2. While automatic reasoning has always inspired the imagination, numerous projects have failed to deliver to the promises. The typical pitfalls related to ontologies and symbolic reasoning fall into two categories: - Over-engineered ontologies. The selected ontology language and modeling patterns can be too expressive. This can make the results of inference hard to understand and verify, which in its turn makes KG hard to evolve and maintain. It can also impose performance penalties far greater than the benefits. - Inappropriate reasoning support. There are many inference algorithms and implementation approaches, which work well with taxonomies and conceptual models of few thousands of concepts, but cannot cope with KG of millions of entities. - Inappropriate data layer architecture. One such example is reasoning with virtual KG, which is often infeasible. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reasoning-with-big-kg-2020-aug-final-200911074003-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation will provide a brief introduction to logical reasoning and overview of the most popular semantic schema and ontology languages: RDFS and the profiles of OWL 2. While automatic reasoning has always inspired the imagination, numerous projects have failed to deliver to the promises. The typical pitfalls related to ontologies and symbolic reasoning fall into two categories: - Over-engineered ontologies. The selected ontology language and modeling patterns can be too expressive. This can make the results of inference hard to understand and verify, which in its turn makes KG hard to evolve and maintain. It can also impose performance penalties far greater than the benefits. - Inappropriate reasoning support. There are many inference algorithms and implementation approaches, which work well with taxonomies and conceptual models of few thousands of concepts, but cannot cope with KG of millions of entities. - Inappropriate data layer architecture. One such example is reasoning with virtual KG, which is often infeasible.

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes from Ontotext

]]> 411 0 https://cdn.slidesharecdn.com/ss_thumbnails/reasoning-with-big-kg-2020-aug-final-200911074003-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Building Knowledge Graphs in 10 steps /slideshow/building-knowledge-graphs-in-10-steps/232408738 presentation-10steps1604202003-200422075832
Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.]]>
Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.]]> Wed, 22 Apr 2020 07:58:32 GMT /slideshow/building-knowledge-graphs-in-10-steps/232408738 ontotext@slideshare.net(ontotext) Building Knowledge Graphs in 10 steps ontotext Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation-10steps1604202003-200422075832-thumbnail.jpg?width=120&height=120&fit=bounds" /> Knowledge graphs - it’s what all businesses now are on the lookout for. But what exactly is a knowledge graph and, more importantly, how do you get one? Do you get it as an out-of-the-box solution or do you have to build it (or have someone else build it for you)? With the help of our knowledge graph technology experts, we have created a step-by-step list of how to build a knowledge graph. It will properly expose and enforce the semantics of the semantic data model via inference, consistency checking and validation and thus offer organizations many more opportunities to transform and interlink data into coherent knowledge.

Building Knowledge Graphs in 10 steps from Ontotext

]]> 472 0 https://cdn.slidesharecdn.com/ss_thumbnails/presentation-10steps1604202003-200422075832-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Analytics on Big Knowledge Graphs Deliver Entity Awareness and Help Data Linking /slideshow/semantics-2018kganalyticsforpublication/119853864 semantics-2018-kg-analytics-for-publication-181018073446
A presentation of Ontotext’s CEO Atanas Kiryakov, given during Semantics 2018 - an annual conference that brings together researchers and professionals from all over the world to share knowledge and expertise on semantic computing.]]>
A presentation of Ontotext’s CEO Atanas Kiryakov, given during Semantics 2018 - an annual conference that brings together researchers and professionals from all over the world to share knowledge and expertise on semantic computing.]]> Thu, 18 Oct 2018 07:34:46 GMT /slideshow/semantics-2018kganalyticsforpublication/119853864 ontotext@slideshare.net(ontotext) Analytics on Big Knowledge Graphs Deliver Entity Awareness and Help Data Linking ontotext A presentation of Ontotext’s CEO Atanas Kiryakov, given during Semantics 2018 - an annual conference that brings together researchers and professionals from all over the world to share knowledge and expertise on semantic computing. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantics-2018-kg-analytics-for-publication-181018073446-thumbnail.jpg?width=120&height=120&fit=bounds" /> A presentation of Ontotext’s CEO Atanas Kiryakov, given during Semantics 2018 - an annual conference that brings together researchers and professionals from all over the world to share knowledge and expertise on semantic computing.

Analytics on Big Knowledge Graphs Deliver Entity Awareness and Help Data Linking from Ontotext

]]> 730 4 https://cdn.slidesharecdn.com/ss_thumbnails/semantics-2018-kg-analytics-for-publication-181018073446-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 It Don’t Mean a Thing If It Ain’t Got Semantics /slideshow/it-dont-mean-a-thing-if-it-aint-got-semantics-108918730/108918730 whyconsideranrdfgraphdatabase-180807134754
With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder. Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution. It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in. In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.]]>
With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder. Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution. It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in. In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.]]> Tue, 07 Aug 2018 13:47:54 GMT /slideshow/it-dont-mean-a-thing-if-it-aint-got-semantics-108918730/108918730 ontotext@slideshare.net(ontotext) It Don’t Mean a Thing If It Ain’t Got Semantics ontotext With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder. Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution. It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in. In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whyconsideranrdfgraphdatabase-180807134754-thumbnail.jpg?width=120&height=120&fit=bounds" /> With the tons of bits of data around enterprises and the challenge to turn these data into knowledge, meaning is arguably in the systems of the best database holder. Turning data pieces into actionable knowledge and data-driven decisions takes a good and reliable database. The RDF database is one such solution. It captures and analyzes large volumes of diverse data while at the same time is able to manage and retrieve each and every connection these data ever get to enter in. In our latest slides, you will find out why we believe RDF graph databases work wonders with serving information needs and handling the growing amounts of diverse data every organization faces today.

It Don’t Mean a Thing If It Ain’t Got Semantics from Ontotext

]]> 546 2 https://cdn.slidesharecdn.com/ss_thumbnails/whyconsideranrdfgraphdatabase-180807134754-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 The Bounties of Semantic Data Integration for the Enterprise /slideshow/the-bounties-of-semantic-data-integration-for-the-enterprise/105151214 slideshare-thebountiesofsemanticdataintegrationfortheenterprisefinal-180710122510
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical. Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way. Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business. www.ontotext.com ]]>
If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical. Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way. Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business. www.ontotext.com ]]> Tue, 10 Jul 2018 12:25:10 GMT /slideshow/the-bounties-of-semantic-data-integration-for-the-enterprise/105151214 ontotext@slideshare.net(ontotext) The Bounties of Semantic Data Integration for the Enterprise ontotext If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical. Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way. Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business. www.ontotext.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slideshare-thebountiesofsemanticdataintegrationfortheenterprisefinal-180710122510-thumbnail.jpg?width=120&height=120&fit=bounds" /> If you are looking for solutions that allow you not only to manage all of your data (structured, semi-structured and unstructured) but to also make the most out of them, using a common language is critical. Adding Semantic Technology to data integration is the glue that holds together all your enterprise data and their relationships in a meaningful way. Learn how you can quickly design data processing jobs and integrate massive amounts of data and see what semantic integration can do for your data and your business. www.ontotext.com

The Bounties of Semantic Data Integration for the Enterprise from Ontotext

]]> 16301 2 https://cdn.slidesharecdn.com/ss_thumbnails/slideshare-thebountiesofsemanticdataintegrationfortheenterprisefinal-180710122510-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 [Webinar] GraphDB Fundamentals: Adding Meaning to Your Data /slideshow/webinar-graphdb-fundamentals-adding-meaning-to-your-data/94458691 webinar-graphdbfundamentalsaddingmeaningtoyourdata-180420104754
In this webinar, Desislava Hristova demonstrated how to install and set-up GraphDB™ and how one can generate RDF dataset. She also showed how one can quickly integrate complex and highly interconnected data using RDF, how to write some simple SPARQL queries and more. In a nutshell, this webinar is suitable for those who are new to RDF databases and would like to learn how they can smartly manage their data assets with GraphDB™. ]]>
In this webinar, Desislava Hristova demonstrated how to install and set-up GraphDB™ and how one can generate RDF dataset. She also showed how one can quickly integrate complex and highly interconnected data using RDF, how to write some simple SPARQL queries and more. In a nutshell, this webinar is suitable for those who are new to RDF databases and would like to learn how they can smartly manage their data assets with GraphDB™. ]]> Fri, 20 Apr 2018 10:47:54 GMT /slideshow/webinar-graphdb-fundamentals-adding-meaning-to-your-data/94458691 ontotext@slideshare.net(ontotext) [Webinar] GraphDB Fundamentals: Adding Meaning to Your Data ontotext In this webinar, Desislava Hristova demonstrated how to install and set-up GraphDB™ and how one can generate RDF dataset. She also showed how one can quickly integrate complex and highly interconnected data using RDF, how to write some simple SPARQL queries and more. In a nutshell, this webinar is suitable for those who are new to RDF databases and would like to learn how they can smartly manage their data assets with GraphDB™. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinar-graphdbfundamentalsaddingmeaningtoyourdata-180420104754-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this webinar, Desislava Hristova demonstrated how to install and set-up GraphDB™ and how one can generate RDF dataset. She also showed how one can quickly integrate complex and highly interconnected data using RDF, how to write some simple SPARQL queries and more. In a nutshell, this webinar is suitable for those who are new to RDF databases and would like to learn how they can smartly manage their data assets with GraphDB™.

[Webinar] GraphDB Fundamentals: Adding Meaning to Your Data from Ontotext

]]> 501 2 https://cdn.slidesharecdn.com/ss_thumbnails/webinar-graphdbfundamentalsaddingmeaningtoyourdata-180420104754-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 [Conference] Cognitive Graph Analytics on Company Data and News /slideshow/conference-presentation-ontotext-presenting-at-data-day-texas-2018/86967066 texas-data-day18-kiryakov-180131105058
Atanas Kiryakov, Ontotext's CEO, presented at the Data Day Texas 2018 conference, which took place in Austin, TX, USA, on January 27th. Ontotext's talk was part of the Graph Day Sessions and its focus was 'Cognitive graph analytics on company data and news', aiming to demonstrate the power of Graph Analytics to create links between various datasets and lead to knowledge discovery.]]>
Atanas Kiryakov, Ontotext's CEO, presented at the Data Day Texas 2018 conference, which took place in Austin, TX, USA, on January 27th. Ontotext's talk was part of the Graph Day Sessions and its focus was 'Cognitive graph analytics on company data and news', aiming to demonstrate the power of Graph Analytics to create links between various datasets and lead to knowledge discovery.]]> Wed, 31 Jan 2018 10:50:58 GMT /slideshow/conference-presentation-ontotext-presenting-at-data-day-texas-2018/86967066 ontotext@slideshare.net(ontotext) [Conference] Cognitive Graph Analytics on Company Data and News ontotext Atanas Kiryakov, Ontotext's CEO, presented at the Data Day Texas 2018 conference, which took place in Austin, TX, USA, on January 27th. Ontotext's talk was part of the Graph Day Sessions and its focus was 'Cognitive graph analytics on company data and news', aiming to demonstrate the power of Graph Analytics to create links between various datasets and lead to knowledge discovery. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/texas-data-day18-kiryakov-180131105058-thumbnail.jpg?width=120&height=120&fit=bounds" /> Atanas Kiryakov, Ontotext's CEO, presented at the Data Day Texas 2018 conference, which took place in Austin, TX, USA, on January 27th. Ontotext's talk was part of the Graph Day Sessions and its focus was 'Cognitive graph analytics on company data and news', aiming to demonstrate the power of Graph Analytics to create links between various datasets and lead to knowledge discovery.

[Conference] Cognitive Graph Analytics on Company Data and News from Ontotext

]]> 891 4 https://cdn.slidesharecdn.com/ss_thumbnails/texas-data-day18-kiryakov-180131105058-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018 /slideshow/transforming-your-data-with-graphdb-graphdb-fundamentals-jan-2018/86857772 graphdbfundamentalswebinar-jan2018-180129153642
These are slides from a live webinar taken place January 2018. GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more. With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.]]>
These are slides from a live webinar taken place January 2018. GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more. With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.]]> Mon, 29 Jan 2018 15:36:42 GMT /slideshow/transforming-your-data-with-graphdb-graphdb-fundamentals-jan-2018/86857772 ontotext@slideshare.net(ontotext) Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018 ontotext These are slides from a live webinar taken place January 2018. GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more. With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/graphdbfundamentalswebinar-jan2018-180129153642-thumbnail.jpg?width=120&height=120&fit=bounds" /> These are slides from a live webinar taken place January 2018. GraphDB™ Fundamentals builds the basis for working with graph databases that utilize the W3C standards, and particularly GraphDB™. In this webinar, we demonstrated how to install and set-up GraphDB™ 8.4 and how you can generate your first RDF dataset. We also showed how to quickly integrate complex and highly interconnected data using RDF and SPARQL and much more. With the help of GraphDB™, you can start smartly managing your data assets, visually represent your data model and get insights from them.

Transforming Your Data with GraphDB: GraphDB Fundamentals, Jan 2018 from Ontotext

]]> 1718 1 https://cdn.slidesharecdn.com/ss_thumbnails/graphdbfundamentalswebinar-jan2018-180129153642-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones /slideshow/hercule-journalist-platform-to-find-breaking-news-and-fight-fake-ones/84067118 webinarhercule-journalistplatformtofindbreakingnewsandfightfakeones-171214112437
Hercule: a platform to help journalists detect emerging news topics, check their veracity, track an event as it unfolds and find the various angles in a story as it develops.]]>
Hercule: a platform to help journalists detect emerging news topics, check their veracity, track an event as it unfolds and find the various angles in a story as it develops.]]> Thu, 14 Dec 2017 11:24:37 GMT /slideshow/hercule-journalist-platform-to-find-breaking-news-and-fight-fake-ones/84067118 ontotext@slideshare.net(ontotext) Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones ontotext Hercule: a platform to help journalists detect emerging news topics, check their veracity, track an event as it unfolds and find the various angles in a story as it develops. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinarhercule-journalistplatformtofindbreakingnewsandfightfakeones-171214112437-thumbnail.jpg?width=120&height=120&fit=bounds" /> Hercule: a platform to help journalists detect emerging news topics, check their veracity, track an event as it unfolds and find the various angles in a story as it develops.

Hercule: Journalist Platform to Find Breaking News and Fight Fake Ones from Ontotext

]]> 269 1 https://cdn.slidesharecdn.com/ss_thumbnails/webinarhercule-journalistplatformtofindbreakingnewsandfightfakeones-171214112437-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 How to migrate to GraphDB in 10 easy to follow steps /slideshow/how-to-migrate-to-graphdb-in-10-easy-to-follow-steps/82151734 howtomigratetographdbin10easytofollowsteps15nov2017-171116092936
GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. Designed with a view to making your transitioning to GraphDB frictionless and resource-effective, GraphDB Migration Service provides the technical support and expertise you and your team of developers need to build a highly efficient architecture for semantic annotation, indexing and retrieval of digital assets. With GraphDB Migration Services you will: * Optimize the cost of managing the RDF database; * Improve the performance of your system; * Get the maximum value from your semantic solution.]]>
GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. Designed with a view to making your transitioning to GraphDB frictionless and resource-effective, GraphDB Migration Service provides the technical support and expertise you and your team of developers need to build a highly efficient architecture for semantic annotation, indexing and retrieval of digital assets. With GraphDB Migration Services you will: * Optimize the cost of managing the RDF database; * Improve the performance of your system; * Get the maximum value from your semantic solution.]]> Thu, 16 Nov 2017 09:29:36 GMT /slideshow/how-to-migrate-to-graphdb-in-10-easy-to-follow-steps/82151734 ontotext@slideshare.net(ontotext) How to migrate to GraphDB in 10 easy to follow steps ontotext GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. Designed with a view to making your transitioning to GraphDB frictionless and resource-effective, GraphDB Migration Service provides the technical support and expertise you and your team of developers need to build a highly efficient architecture for semantic annotation, indexing and retrieval of digital assets. With GraphDB Migration Services you will: * Optimize the cost of managing the RDF database; * Improve the performance of your system; * Get the maximum value from your semantic solution. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtomigratetographdbin10easytofollowsteps15nov2017-171116092936-thumbnail.jpg?width=120&height=120&fit=bounds" /> GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. GraphDB Migration Service helps you institute Ontotext GraphDB™ as your new semantic graph database. Designed with a view to making your transitioning to GraphDB frictionless and resource-effective, GraphDB Migration Service provides the technical support and expertise you and your team of developers need to build a highly efficient architecture for semantic annotation, indexing and retrieval of digital assets. With GraphDB Migration Services you will: * Optimize the cost of managing the RDF database; * Improve the performance of your system; * Get the maximum value from your semantic solution.

How to migrate to GraphDB in 10 easy to follow steps from Ontotext

]]> 1796 1 https://cdn.slidesharecdn.com/ss_thumbnails/howtomigratetographdbin10easytofollowsteps15nov2017-171116092936-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 GraphDB Cloud: Enterprise Ready RDF Database on Demand /slideshow/graphdb-cloud-enterprise-ready-rdf-database-on-demand/77875097 graphdbcloudwebinar-v1-170714130434
GraphDB Cloud is an enterprise grade RDF graph database providing high-performance querying over large volumes of RDF data. On this webinar, Ontotext demonstrates how to instantly create and deploy a fully managed Graph Database, then import & query data with the (OpenRDF) GraphDB Workbench, and finally explore and visualize data with the build in visualization tools.]]>
GraphDB Cloud is an enterprise grade RDF graph database providing high-performance querying over large volumes of RDF data. On this webinar, Ontotext demonstrates how to instantly create and deploy a fully managed Graph Database, then import & query data with the (OpenRDF) GraphDB Workbench, and finally explore and visualize data with the build in visualization tools.]]> Fri, 14 Jul 2017 13:04:33 GMT /slideshow/graphdb-cloud-enterprise-ready-rdf-database-on-demand/77875097 ontotext@slideshare.net(ontotext) GraphDB Cloud: Enterprise Ready RDF Database on Demand ontotext GraphDB Cloud is an enterprise grade RDF graph database providing high-performance querying over large volumes of RDF data. On this webinar, Ontotext demonstrates how to instantly create and deploy a fully managed Graph Database, then import & query data with the (OpenRDF) GraphDB Workbench, and finally explore and visualize data with the build in visualization tools. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/graphdbcloudwebinar-v1-170714130434-thumbnail.jpg?width=120&height=120&fit=bounds" /> GraphDB Cloud is an enterprise grade RDF graph database providing high-performance querying over large volumes of RDF data. On this webinar, Ontotext demonstrates how to instantly create and deploy a fully managed Graph Database, then import & query data with the (OpenRDF) GraphDB Workbench, and finally explore and visualize data with the build in visualization tools.

GraphDB Cloud: Enterprise Ready RDF Database on Demand from Ontotext

]]> 546 9 https://cdn.slidesharecdn.com/ss_thumbnails/graphdbcloudwebinar-v1-170714130434-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 [Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry Leaders /slideshow/webinar-factforge-debuts-trump-world-data-and-instant-ranking-of-industry-leaders/75283054 ranktrumpwebinarapr2017-170421150706
This webinar continues series are demonstrating how linked open data and semantic tagging of news can be used for comprehensive media monitoring, market and business intelligence. The platform for the demonstrations is FactForge: a hub for news and data about people, organizations, and locations (POL). FactForge embodies a big knowledge graph (BKG) of more than 1 billion facts that allows various analytical queries, including tracing suspicious patterns of company control; media monitoring of people, including companies owned by them, their subsidiaries, etc. ]]>
This webinar continues series are demonstrating how linked open data and semantic tagging of news can be used for comprehensive media monitoring, market and business intelligence. The platform for the demonstrations is FactForge: a hub for news and data about people, organizations, and locations (POL). FactForge embodies a big knowledge graph (BKG) of more than 1 billion facts that allows various analytical queries, including tracing suspicious patterns of company control; media monitoring of people, including companies owned by them, their subsidiaries, etc. ]]> Fri, 21 Apr 2017 15:07:06 GMT /slideshow/webinar-factforge-debuts-trump-world-data-and-instant-ranking-of-industry-leaders/75283054 ontotext@slideshare.net(ontotext) [Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry Leaders ontotext This webinar continues series are demonstrating how linked open data and semantic tagging of news can be used for comprehensive media monitoring, market and business intelligence. The platform for the demonstrations is FactForge: a hub for news and data about people, organizations, and locations (POL). FactForge embodies a big knowledge graph (BKG) of more than 1 billion facts that allows various analytical queries, including tracing suspicious patterns of company control; media monitoring of people, including companies owned by them, their subsidiaries, etc. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ranktrumpwebinarapr2017-170421150706-thumbnail.jpg?width=120&height=120&fit=bounds" /> This webinar continues series are demonstrating how linked open data and semantic tagging of news can be used for comprehensive media monitoring, market and business intelligence. The platform for the demonstrations is FactForge: a hub for news and data about people, organizations, and locations (POL). FactForge embodies a big knowledge graph (BKG) of more than 1 billion facts that allows various analytical queries, including tracing suspicious patterns of company control; media monitoring of people, including companies owned by them, their subsidiaries, etc.

[Webinar] FactForge Debuts: Trump World Data and Instant Ranking of Industry Leaders from Ontotext

]]> 304 5 https://cdn.slidesharecdn.com/ss_thumbnails/ranktrumpwebinarapr2017-170421150706-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Smarter content with a Dynamic Semantic Publishing Platform /slideshow/smarter-content-with-a-dynamic-semantic-publishing-platform-74224971/74224971 smartercontentwithadynamicsemanticpublishingplatformdsp-170403074526
Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search.]]>
Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search.]]> Mon, 03 Apr 2017 07:45:26 GMT /slideshow/smarter-content-with-a-dynamic-semantic-publishing-platform-74224971/74224971 ontotext@slideshare.net(ontotext) Smarter content with a Dynamic Semantic Publishing Platform ontotext Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/smartercontentwithadynamicsemanticpublishingplatformdsp-170403074526-thumbnail.jpg?width=120&height=120&fit=bounds" /> Personalized content recommendation systems enable users to overcome the information overload associated with rapidly changing deep and wide content streams such as news. This webinar discusses Ontotext’s latest improvements to its Dynamic Semantic Publishing (DSP) platform NOW (News on the Web). The Platform includes social data mining, web usage mining, behavioral and contextual semantic fingerprinting, content typing and rich relationship search.

Smarter content with a Dynamic Semantic Publishing Platform from Ontotext

]]> 473 6 https://cdn.slidesharecdn.com/ss_thumbnails/smartercontentwithadynamicsemanticpublishingplatformdsp-170403074526-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 How is smart data cooked? /slideshow/how-is-smart-data-cooked/73742465 pastamakerfinal27032017-170327205816
What is GraphDB and how can it help you run a smart data-driven business? Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible.]]>
What is GraphDB and how can it help you run a smart data-driven business? Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible.]]> Mon, 27 Mar 2017 20:58:16 GMT /slideshow/how-is-smart-data-cooked/73742465 ontotext@slideshare.net(ontotext) How is smart data cooked? ontotext What is GraphDB and how can it help you run a smart data-driven business? Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pastamakerfinal27032017-170327205816-thumbnail.jpg?width=120&height=120&fit=bounds" /> What is GraphDB and how can it help you run a smart data-driven business? Learn about GraphDB through the solutions it offers in a simple and easy to understand way. In the slides below we have unpacked GraphDB for you, using as little tech talk as possible.

How is smart data cooked? from Ontotext

]]> 1101 2 https://cdn.slidesharecdn.com/ss_thumbnails/pastamakerfinal27032017-170327205816-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Efficient Practices for Large Scale Text Mining Process /slideshow/efficient-practices-for-large-scale-text-mining-process/72851276 ontotextswebinartm02-170306095343
Text mining is a need when managing large scale textual collections. It facilitates access to, otherwise, hard to organise unstructured and heterogeneous documents, allows for extraction of hidden knowledge and opens new dimensions in data exploration. In this webinar, Ivelina Nikolova, PhD, shares best practices and text analysis examples from successful text mining process in domains like news, financial and scientific publishing, pharma industry and cultural heritage.]]>
Text mining is a need when managing large scale textual collections. It facilitates access to, otherwise, hard to organise unstructured and heterogeneous documents, allows for extraction of hidden knowledge and opens new dimensions in data exploration. In this webinar, Ivelina Nikolova, PhD, shares best practices and text analysis examples from successful text mining process in domains like news, financial and scientific publishing, pharma industry and cultural heritage.]]> Mon, 06 Mar 2017 09:53:43 GMT /slideshow/efficient-practices-for-large-scale-text-mining-process/72851276 ontotext@slideshare.net(ontotext) Efficient Practices for Large Scale Text Mining Process ontotext Text mining is a need when managing large scale textual collections. It facilitates access to, otherwise, hard to organise unstructured and heterogeneous documents, allows for extraction of hidden knowledge and opens new dimensions in data exploration. In this webinar, Ivelina Nikolova, PhD, shares best practices and text analysis examples from successful text mining process in domains like news, financial and scientific publishing, pharma industry and cultural heritage. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ontotextswebinartm02-170306095343-thumbnail.jpg?width=120&height=120&fit=bounds" /> Text mining is a need when managing large scale textual collections. It facilitates access to, otherwise, hard to organise unstructured and heterogeneous documents, allows for extraction of hidden knowledge and opens new dimensions in data exploration. In this webinar, Ivelina Nikolova, PhD, shares best practices and text analysis examples from successful text mining process in domains like news, financial and scientific publishing, pharma industry and cultural heritage.

Efficient Practices for Large Scale Text Mining Process from Ontotext

]]> 795 7 https://cdn.slidesharecdn.com/ss_thumbnails/ontotextswebinartm02-170306095343-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 The Power of Semantic Technologies to Explore Linked Open Data /slideshow/the-power-of-semantic-technologies-to-explore-linked-open-data/72123984 smartdata17-opendata-analytics-v3-170214081727
Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity. The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by: - graphically explorinh the connectivity patterns in big datasets; - building new links between identical entities residing in different data silos; - getting insights of what type of queries can be run against various linked data sets; - reliably filtering information based on relationships, e.g., between people and organizations, in the news; - demonstrating the conversion of tabular data into RDF. Learn more at http://ontotext.com/.]]>
Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity. The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by: - graphically explorinh the connectivity patterns in big datasets; - building new links between identical entities residing in different data silos; - getting insights of what type of queries can be run against various linked data sets; - reliably filtering information based on relationships, e.g., between people and organizations, in the news; - demonstrating the conversion of tabular data into RDF. Learn more at http://ontotext.com/.]]> Tue, 14 Feb 2017 08:17:27 GMT /slideshow/the-power-of-semantic-technologies-to-explore-linked-open-data/72123984 ontotext@slideshare.net(ontotext) The Power of Semantic Technologies to Explore Linked Open Data ontotext Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity. The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by: - graphically explorinh the connectivity patterns in big datasets; - building new links between identical entities residing in different data silos; - getting insights of what type of queries can be run against various linked data sets; - reliably filtering information based on relationships, e.g., between people and organizations, in the news; - demonstrating the conversion of tabular data into RDF. Learn more at http://ontotext.com/. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/smartdata17-opendata-analytics-v3-170214081727-thumbnail.jpg?width=120&height=120&fit=bounds" /> Atanas Kiryakov's, Ontotext’s CEO, presentation at the first edition of Graphorum (http://graphorum2017.dataversity.net/) – a new forum that taps into the growing interest in Graph Databases and Technologies. Graphorum is co-located with the Smart Data Conference, organized by the digital publishing platform Dataversity. The presentation demonstrates the capabilities of Ontotext’s own approach to contributing to the discipline of more intelligent information gathering and analysis by: - graphically explorinh the connectivity patterns in big datasets; - building new links between identical entities residing in different data silos; - getting insights of what type of queries can be run against various linked data sets; - reliably filtering information based on relationships, e.g., between people and organizations, in the news; - demonstrating the conversion of tabular data into RDF. Learn more at http://ontotext.com/.

The Power of Semantic Technologies to Explore Linked Open Data from Ontotext

]]> 1352 8 https://cdn.slidesharecdn.com/ss_thumbnails/smartdata17-opendata-analytics-v3-170214081727-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 First Steps in Semantic Data Modelling and Search & Analytics in the Cloud /slideshow/webinar-first-steps-in-semantic-data-modelling-and-search-analytics-in-the-cloud/69587548 webinarfirststepsinsemanticdatamodelling-161128093123
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.]]>
This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.]]> Mon, 28 Nov 2016 09:31:23 GMT /slideshow/webinar-first-steps-in-semantic-data-modelling-and-search-analytics-in-the-cloud/69587548 ontotext@slideshare.net(ontotext) First Steps in Semantic Data Modelling and Search & Analytics in the Cloud ontotext This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/webinarfirststepsinsemanticdatamodelling-161128093123-thumbnail.jpg?width=120&height=120&fit=bounds" /> This webinar will break the roadblocks that prevent many from reaping the benefits of heavyweight Semantic Technology in small scale projects. We will show you how to build Semantic Search & Analytics proof of concepts by using managed services in the Cloud.

First Steps in Semantic Data Modelling and Search & Analytics in the Cloud from Ontotext

]]> 2272 4 https://cdn.slidesharecdn.com/ss_thumbnails/webinarfirststepsinsemanticdatamodelling-161128093123-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-ontotext-48x48.jpg?cb=1727166874 Ontotext is a leading developer of core semantic technology with applications in multiple areas, among which: Web Mining, Information Integration, Information Extraction and Information Retrieval, Knowledge Management, Media Research, and Life Sciences. www.ontotext.com https://cdn.slidesharecdn.com/ss_thumbnails/graphragvarieties-ldbc-240925095602-52252b0c-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/graph-rag-varieties-and-their-enterprise-applications/272011059 Graph RAG Varieties an... https://cdn.slidesharecdn.com/ss_thumbnails/eligibilitydesignassistantdemoslideshare-240702091847-7d1de072-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/eligibilitydesignassistant_demo_slideshare-pptx-pdf/270015064 EligibilityDesignAssis... https://cdn.slidesharecdn.com/ss_thumbnails/property-graph-vs-rdf-comparison-2020-ontotext-200923075443-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/property-graph-vsrdf-triplestore-comparison-in-2020/238617905 Property graph vs. RDF...