ºÝºÝߣshows by User: juansequeda / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: juansequeda / Mon, 07 Jan 2019 16:55:52 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: juansequeda Integrating Semantic Web with the Real World - A Journey between Two Cities - 2018 /juansequeda/integrating-semantic-web-with-the-real-world-a-journey-between-two-cities-2018 integratingsemanticwebwiththerealworld-journeybetweentwocities-2018-190107165552
(The original version of this talk was a Keynote at KCAP2017. This is the final version of the slides after giving this talk 14 times in 2018) An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention. ]]>
(The original version of this talk was a Keynote at KCAP2017. This is the final version of the slides after giving this talk 14 times in 2018) An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention. ]]> Mon, 07 Jan 2019 16:55:52 GMT /juansequeda/integrating-semantic-web-with-the-real-world-a-journey-between-two-cities-2018 juansequeda@slideshare.net(juansequeda) Integrating Semantic Web with the Real World - A Journey between Two Cities - 2018 juansequeda (The original version of this talk was a Keynote at KCAP2017. This is the final version of the slides after giving this talk 14 times in 2018) An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/integratingsemanticwebwiththerealworld-journeybetweentwocities-2018-190107165552-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> (The original version of this talk was a Keynote at KCAP2017. This is the final version of the slides after giving this talk 14 times in 2018) An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific and engineering challenges that require attention.
Integrating Semantic Web with the Real World - A Journey between Two Cities - 2018 from Juan Sequeda
]]> 2702 2 https://cdn.slidesharecdn.com/ss_thumbnails/integratingsemanticwebwiththerealworld-journeybetweentwocities-2018-190107165552-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 Integrating Semantic Web in the Real World: A Journey between Two Cities /slideshow/integrating-semantic-web-in-the-real-world-a-journey-between-two-cities/83502645 integratingsemanticwebintherealworld-ajourneybetweentwocities-kcap2017keynote-171206180601
Keynote at The 9th International Conference on Knowledge Capture (KCAP2017), Austin, Texas, Dec 2017 An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific challenges that require attention.]]>
Keynote at The 9th International Conference on Knowledge Capture (KCAP2017), Austin, Texas, Dec 2017 An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific challenges that require attention.]]> Wed, 06 Dec 2017 18:06:01 GMT /slideshow/integrating-semantic-web-in-the-real-world-a-journey-between-two-cities/83502645 juansequeda@slideshare.net(juansequeda) Integrating Semantic Web in the Real World: A Journey between Two Cities juansequeda Keynote at The 9th International Conference on Knowledge Capture (KCAP2017), Austin, Texas, Dec 2017 An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific challenges that require attention. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/integratingsemanticwebintherealworld-ajourneybetweentwocities-kcap2017keynote-171206180601-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Keynote at The 9th International Conference on Knowledge Capture (KCAP2017), Austin, Texas, Dec 2017 An early vision in Computer Science has been to create intelligent systems capable of reasoning on large amounts of data. Today, this vision can be delivered by integrating Relational Databases with the Semantic Web using the W3C standards: a graph data model (RDF), ontology language (OWL), mapping language (R2RML) and query language (SPARQL). The research community has successfully been showing how intelligent systems can be created with Semantic Web technologies, dubbed now as Knowledge Graphs. However, where is the mainstream industry adoption? What are the barriers to adoption? Are these engineering and social barriers or are they open scientific problems that need to be addressed? This talk will chronicle our journey of deploying Semantic Web technologies with real world users to address Business Intelligence and Data Integration needs, describe technical and social obstacles that are present in large organizations, and scientific challenges that require attention.
Integrating Semantic Web in the Real World: A Journey between Two Cities from Juan Sequeda
]]> 2830 1 https://cdn.slidesharecdn.com/ss_thumbnails/integratingsemanticwebintherealworld-ajourneybetweentwocities-kcap2017keynote-171206180601-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 Integrating Relational Databases with the Semantic Web: A Reflection /slideshow/integrating-relational-databases-with-the-semantic-web-a-reflection/77638460 integratingrelationaldatabaseswiththesemanticwebareflection-reasoningwebsummerschool2017-170708093055
This is a lecture given at the 2017 Reasoning Web Summer School It has been clear from the beginning that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. In 2007, the W3C organized a workshop on RDF Access to Relational Databases. In 2012, two standards were ratified that map relational data to RDF: Direct Mapping and R2RML. In this lecture, I will reflect on the last 10 years of research results and systems to integrate Relational Databases with the Semantic web. I will provide an answer to the following question: how and to what extent can Relational Databases be integrated with the Semantic Web? I will review how these standards and systems are being used in practice for data integration and discuss open challenges.]]>
This is a lecture given at the 2017 Reasoning Web Summer School It has been clear from the beginning that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. In 2007, the W3C organized a workshop on RDF Access to Relational Databases. In 2012, two standards were ratified that map relational data to RDF: Direct Mapping and R2RML. In this lecture, I will reflect on the last 10 years of research results and systems to integrate Relational Databases with the Semantic web. I will provide an answer to the following question: how and to what extent can Relational Databases be integrated with the Semantic Web? I will review how these standards and systems are being used in practice for data integration and discuss open challenges.]]> Sat, 08 Jul 2017 09:30:55 GMT /slideshow/integrating-relational-databases-with-the-semantic-web-a-reflection/77638460 juansequeda@slideshare.net(juansequeda) Integrating Relational Databases with the Semantic Web: A Reflection juansequeda This is a lecture given at the 2017 Reasoning Web Summer School It has been clear from the beginning that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. In 2007, the W3C organized a workshop on RDF Access to Relational Databases. In 2012, two standards were ratified that map relational data to RDF: Direct Mapping and R2RML. In this lecture, I will reflect on the last 10 years of research results and systems to integrate Relational Databases with the Semantic web. I will provide an answer to the following question: how and to what extent can Relational Databases be integrated with the Semantic Web? I will review how these standards and systems are being used in practice for data integration and discuss open challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/integratingrelationaldatabaseswiththesemanticwebareflection-reasoningwebsummerschool2017-170708093055-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This is a lecture given at the 2017 Reasoning Web Summer School It has been clear from the beginning that the success of the Semantic Web hinges on integrating the vast amount of data stored in Relational Databases. In 2007, the W3C organized a workshop on RDF Access to Relational Databases. In 2012, two standards were ratified that map relational data to RDF: Direct Mapping and R2RML. In this lecture, I will reflect on the last 10 years of research results and systems to integrate Relational Databases with the Semantic web. I will provide an answer to the following question: how and to what extent can Relational Databases be integrated with the Semantic Web? I will review how these standards and systems are being used in practice for data integration and discuss open challenges.
Integrating Relational Databases with the Semantic Web: A Reflection from Juan Sequeda
]]> 3568 7 https://cdn.slidesharecdn.com/ss_thumbnails/integratingrelationaldatabaseswiththesemanticwebareflection-reasoningwebsummerschool2017-170708093055-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 Graph Query Languages: update from LDBC /slideshow/graph-query-languages-update-from-ldbc/71844510 graphquerylanguages-smartdata2017-170207053044
The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to: Devise a list of desired features and functionalities of a graph query language. Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues. Provide a better understanding of the design space and state-of-the-art. Develop proposals for changes to existing query languages or even a new graph query language. This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads. This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.]]>
The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to: Devise a list of desired features and functionalities of a graph query language. Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues. Provide a better understanding of the design space and state-of-the-art. Develop proposals for changes to existing query languages or even a new graph query language. This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads. This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.]]> Tue, 07 Feb 2017 05:30:43 GMT /slideshow/graph-query-languages-update-from-ldbc/71844510 juansequeda@slideshare.net(juansequeda) Graph Query Languages: update from LDBC juansequeda The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to: Devise a list of desired features and functionalities of a graph query language. Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues. Provide a better understanding of the design space and state-of-the-art. Develop proposals for changes to existing query languages or even a new graph query language. This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads. This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/graphquerylanguages-smartdata2017-170207053044-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Linked Data Benchmark Council (LDBC) is a non-profit organization dedicated to establishing benchmarks, benchmark practices and benchmark results for graph data management software. The Graph Query Language task force of LDBC is studying query languages for graph data management systems, and specifically those systems storing so-called Property Graph data. The goals of the GraphQL task force are to: Devise a list of desired features and functionalities of a graph query language. Evaluate a number of existing languages (i.e. Cypher, Gremlin, PGQL, SPARQL, SQL), and identify possible issues. Provide a better understanding of the design space and state-of-the-art. Develop proposals for changes to existing query languages or even a new graph query language. This query language should cover the needs of the most important use-cases for such systems, such as social network and Business Intelligence workloads. This talk will present an update of the work accomplished by the LDBC GraphQL task force. We also look for input from the graph community.
Graph Query Languages: update from LDBC from Juan Sequeda
]]> 1976 5 https://cdn.slidesharecdn.com/ss_thumbnails/graphquerylanguages-smartdata2017-170207053044-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 Virtualizing Relational Databases as Graphs: a multi-model approach /juansequeda/virtualizing-relational-databases-as-graphs-a-multimodel-approach virtualizingrelationaldatabasesasgraphs-amulti-modelapproach-smartdata2017-170207051204
Talk given at Smart Data 2017 Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc. A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database. In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.]]>
Talk given at Smart Data 2017 Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc. A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database. In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.]]> Tue, 07 Feb 2017 05:12:04 GMT /juansequeda/virtualizing-relational-databases-as-graphs-a-multimodel-approach juansequeda@slideshare.net(juansequeda) Virtualizing Relational Databases as Graphs: a multi-model approach juansequeda Talk given at Smart Data 2017 Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don't have time, or they won't allow it - just more nulls that can lead to query performance degradation, etc. A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can't expect to move all of their data to a graph database. In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/virtualizingrelationaldatabasesasgraphs-amulti-modelapproach-smartdata2017-170207051204-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given at Smart Data 2017 Relational Databases are inflexible due to the rigid constraints of the relational data model. If you have new data that doesn’t fit your schema, you will need to alter your schema (add a column or a new table). This is a task that is not always possible. IT departments don&#39;t have time, or they won&#39;t allow it - just more nulls that can lead to query performance degradation, etc. A goal of graph databases is to address this problem with their schema-less graph data model. However, many businesses have large investments in commercial RDBMSs and their associated applications and can&#39;t expect to move all of their data to a graph database. In this talk, I will present a multi-model graph/relational architecture solution. Keep your relational data where it is, virtualize it as a graph, and then connect it with additional data stored in a graph database. This way, both graph and relational technologies can seamlessly interact together.
Virtualizing Relational Databases as Graphs: a multi-model approach from Juan Sequeda
]]> 1690 5 https://cdn.slidesharecdn.com/ss_thumbnails/virtualizingrelationaldatabasesasgraphs-amulti-modelapproach-smartdata2017-170207051204-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 Do I need a Graph Database? /slideshow/do-i-need-a-graph-database/71016784 doineedagraphdatabase-datadayaustin2017-170114170546
Presentation at Data/Graph Day Texas Conference. Austin, Texas January 14, 2017 This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.]]>
Presentation at Data/Graph Day Texas Conference. Austin, Texas January 14, 2017 This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.]]> Sat, 14 Jan 2017 17:05:46 GMT /slideshow/do-i-need-a-graph-database/71016784 juansequeda@slideshare.net(juansequeda) Do I need a Graph Database? juansequeda Presentation at Data/Graph Day Texas Conference. Austin, Texas January 14, 2017 This talk grew out Juan Sequeda's office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/doineedagraphdatabase-datadayaustin2017-170114170546-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation at Data/Graph Day Texas Conference. Austin, Texas January 14, 2017 This talk grew out Juan Sequeda&#39;s office hours following the Seattle Graph Meetup. Some of the questions posed were: How do I recognize problem best solved with a graph solution? How do I determine the best type of graph to solve the problem? How do I manage the data where both graph and relational operations will be performed? Juan did such a great job of explaining the options, we asked him to develop his responses into a formal talk.
Do I need a Graph Database? from Juan Sequeda
]]> 2536 3 https://cdn.slidesharecdn.com/ss_thumbnails/doineedagraphdatabase-datadayaustin2017-170114170546-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 RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013 /slideshow/rdb2-rdf-tutorial-iswc2013/27398716 rdb2rdftutorialiswc2013-131021011456-phpapp02
The Relational Databases to RDF (RDB2RDF) Tutorial at the 2013 International Semantic Web Conference (ISWC2013)]]>
The Relational Databases to RDF (RDB2RDF) Tutorial at the 2013 International Semantic Web Conference (ISWC2013)]]> Mon, 21 Oct 2013 01:14:56 GMT /slideshow/rdb2-rdf-tutorial-iswc2013/27398716 juansequeda@slideshare.net(juansequeda) RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013 juansequeda The Relational Databases to RDF (RDB2RDF) Tutorial at the 2013 International Semantic Web Conference (ISWC2013) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rdb2rdftutorialiswc2013-131021011456-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Relational Databases to RDF (RDB2RDF) Tutorial at the 2013 International Semantic Web Conference (ISWC2013)
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013 from Juan Sequeda
]]> 17411 12 https://cdn.slidesharecdn.com/ss_thumbnails/rdb2rdftutorialiswc2013-131021011456-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Linked Data tutorial at Semtech 2012 /slideshow/linked-data-tutorial-at-semtech-2012/13238210 linkeddata-semtech-120607105755-phpapp01
My Linked Data tutorial presentation that I presented at Semtech 2012. http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724]]>
My Linked Data tutorial presentation that I presented at Semtech 2012. http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724]]> Thu, 07 Jun 2012 10:57:54 GMT /slideshow/linked-data-tutorial-at-semtech-2012/13238210 juansequeda@slideshare.net(juansequeda) Linked Data tutorial at Semtech 2012 juansequeda My Linked Data tutorial presentation that I presented at Semtech 2012. http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&proposalid=4724 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linkeddata-semtech-120607105755-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> My Linked Data tutorial presentation that I presented at Semtech 2012. http://semtechbizsf2012.semanticweb.com/sessionPop.cfm?confid=65&amp;proposalid=4724
Linked Data tutorial at Semtech 2012 from Juan Sequeda
]]> 2730 4 https://cdn.slidesharecdn.com/ss_thumbnails/linkeddata-semtech-120607105755-phpapp01-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 WTF is the Semantic Web and Linked Data /juansequeda/wtf-is-the-semantic-web-and-linked-data wtfisthesemanticwebandlinkeddata-111122165526-phpapp01
Talk given at UT ISchool on Nov 17, 2011]]>
Talk given at UT ISchool on Nov 17, 2011]]> Tue, 22 Nov 2011 16:55:23 GMT /juansequeda/wtf-is-the-semantic-web-and-linked-data juansequeda@slideshare.net(juansequeda) WTF is the Semantic Web and Linked Data juansequeda Talk given at UT ISchool on Nov 17, 2011 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wtfisthesemanticwebandlinkeddata-111122165526-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given at UT ISchool on Nov 17, 2011
WTF is the Semantic Web and Linked Data from Juan Sequeda
]]> 1639 4 https://cdn.slidesharecdn.com/ss_thumbnails/wtfisthesemanticwebandlinkeddata-111122165526-phpapp01-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 WTF is the Semantic Web /slideshow/wtf-is-the-semantic-web-9500911/9500911 intro-semanticweb-oct-1-111001103700-phpapp01
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]]> Sat, 01 Oct 2011 10:36:58 GMT /slideshow/wtf-is-the-semantic-web-9500911/9500911 juansequeda@slideshare.net(juansequeda) WTF is the Semantic Web juansequeda <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intro-semanticweb-oct-1-111001103700-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
WTF is the Semantic Web from Juan Sequeda
]]> 905 1 https://cdn.slidesharecdn.com/ss_thumbnails/intro-semanticweb-oct-1-111001103700-phpapp01-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 Drupal 7 and Semantic Web Hands-on Tutorial /slideshow/drupal-7-and-semantic-web-handson-tutorial/9499922 semwebdrupal-111001090042-phpapp02
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]]> Sat, 01 Oct 2011 09:00:41 GMT /slideshow/drupal-7-and-semantic-web-handson-tutorial/9499922 juansequeda@slideshare.net(juansequeda) Drupal 7 and Semantic Web Hands-on Tutorial juansequeda <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semwebdrupal-111001090042-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Drupal 7 and Semantic Web Hands-on Tutorial from Juan Sequeda
]]> 852 3 https://cdn.slidesharecdn.com/ss_thumbnails/semwebdrupal-111001090042-phpapp02-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 Free Money (a.k.a Fellowships) /slideshow/free-money-aka-fellowships/9491360 gadfellowship-110930140410-phpapp02
Talk given to UTCS graduate students on applying for fellowships]]>
Talk given to UTCS graduate students on applying for fellowships]]> Fri, 30 Sep 2011 14:04:08 GMT /slideshow/free-money-aka-fellowships/9491360 juansequeda@slideshare.net(juansequeda) Free Money (a.k.a Fellowships) juansequeda Talk given to UTCS graduate students on applying for fellowships <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gadfellowship-110930140410-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk given to UTCS graduate students on applying for fellowships
Free Money (a.k.a Fellowships) from Juan Sequeda
]]> 967 6 https://cdn.slidesharecdn.com/ss_thumbnails/gadfellowship-110930140410-phpapp02-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 Conclusions - Linked Data /slideshow/conclusions-linked-data/8223430 05-linked-data-conclusions-110606140009-phpapp01
ºÝºÝߣs for the "Creating, Publishing and Consuming Linked Data" tutorial at Semtech 2011. ]]>
ºÝºÝߣs for the "Creating, Publishing and Consuming Linked Data" tutorial at Semtech 2011. ]]> Mon, 06 Jun 2011 10:19:49 GMT /slideshow/conclusions-linked-data/8223430 juansequeda@slideshare.net(juansequeda) Conclusions - Linked Data juansequeda ºÝºÝߣs for the "Creating, Publishing and Consuming Linked Data" tutorial at Semtech 2011. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/05-linked-data-conclusions-110606140009-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs for the &quot;Creating, Publishing and Consuming Linked Data&quot; tutorial at Semtech 2011.
Conclusions - Linked Data from Juan Sequeda
]]> 1160 2 https://cdn.slidesharecdn.com/ss_thumbnails/05-linked-data-conclusions-110606140009-phpapp01-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 Consuming Linked Data 4/5 Semtech2011 /slideshow/consuming-linked-data/8223367 04-linked-data-consuming-110606101412-phpapp01
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]]> Mon, 06 Jun 2011 10:14:07 GMT /slideshow/consuming-linked-data/8223367 juansequeda@slideshare.net(juansequeda) Consuming Linked Data 4/5 Semtech2011 juansequeda <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/04-linked-data-consuming-110606101412-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Consuming Linked Data 4/5 Semtech2011 from Juan Sequeda
]]> 2325 4 https://cdn.slidesharecdn.com/ss_thumbnails/04-linked-data-consuming-110606101412-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Publishing Linked Data 3/5 Semtech2011 /slideshow/publishing-linked-data/8223365 03-linked-data-publishing-110606101411-phpapp01
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]]> Mon, 06 Jun 2011 10:14:05 GMT /slideshow/publishing-linked-data/8223365 juansequeda@slideshare.net(juansequeda) Publishing Linked Data 3/5 Semtech2011 juansequeda <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/03-linked-data-publishing-110606101411-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Publishing Linked Data 3/5 Semtech2011 from Juan Sequeda
]]> 1345 1 https://cdn.slidesharecdn.com/ss_thumbnails/03-linked-data-publishing-110606101411-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Linked Data 1/5 /slideshow/introduction-to-linked-data-8223364/8223364 01-linked-data-intro-110606101406-phpapp02
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]]> Mon, 06 Jun 2011 10:14:04 GMT /slideshow/introduction-to-linked-data-8223364/8223364 juansequeda@slideshare.net(juansequeda) Introduction to Linked Data 1/5 juansequeda <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/01-linked-data-intro-110606101406-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Introduction to Linked Data 1/5 from Juan Sequeda
]]> 1875 7 https://cdn.slidesharecdn.com/ss_thumbnails/01-linked-data-intro-110606101406-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Welcome to Linked Data 0/5 Semtech2011 /slideshow/welcome-to-linked-data/8223363 00-linked-data-110606101409-phpapp01
ºÝºÝߣs for the "Creating, Publishing and Consuming Linked Data" tutorial at Semtech 2011. ]]>
ºÝºÝߣs for the "Creating, Publishing and Consuming Linked Data" tutorial at Semtech 2011. ]]> Mon, 06 Jun 2011 10:14:00 GMT /slideshow/welcome-to-linked-data/8223363 juansequeda@slideshare.net(juansequeda) Welcome to Linked Data 0/5 Semtech2011 juansequeda ºÝºÝߣs for the "Creating, Publishing and Consuming Linked Data" tutorial at Semtech 2011. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/00-linked-data-110606101409-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs for the &quot;Creating, Publishing and Consuming Linked Data&quot; tutorial at Semtech 2011.
Welcome to Linked Data 0/5 Semtech2011 from Juan Sequeda
]]> 622 2 https://cdn.slidesharecdn.com/ss_thumbnails/00-linked-data-110606101409-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Creating Linked Data 2/5 Semtech2011 /slideshow/creating-linked-data/8223361 02-linked-data-creating-110606101405-phpapp01
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]]> Mon, 06 Jun 2011 10:14:00 GMT /slideshow/creating-linked-data/8223361 juansequeda@slideshare.net(juansequeda) Creating Linked Data 2/5 Semtech2011 juansequeda <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/02-linked-data-creating-110606101405-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Creating Linked Data 2/5 Semtech2011 from Juan Sequeda
]]> 1669 1 https://cdn.slidesharecdn.com/ss_thumbnails/02-linked-data-creating-110606101405-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduccion a la Web Semantica https://es.slideshare.net/slideshow/introduccion-a-la-web-semantica/8127698 intro-web-semantica-110527123744-phpapp02
Charla sobre la Web Semantica para BRM]]>
Charla sobre la Web Semantica para BRM]]> Fri, 27 May 2011 12:37:40 GMT https://es.slideshare.net/slideshow/introduccion-a-la-web-semantica/8127698 juansequeda@slideshare.net(juansequeda) Introduccion a la Web Semantica juansequeda Charla sobre la Web Semantica para BRM <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intro-web-semantica-110527123744-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Charla sobre la Web Semantica para BRM
from Juan Sequeda
]]> 946 3 https://cdn.slidesharecdn.com/ss_thumbnails/intro-web-semantica-110527123744-phpapp02-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 What is the Semantic Web /slideshow/what-is-the-semantic-web-7619485/7619485 semantic-web-04-2011-110413162558-phpapp01
An intro talk to the Semantic Web and Linked Data]]>
An intro talk to the Semantic Web and Linked Data]]> Wed, 13 Apr 2011 16:25:54 GMT /slideshow/what-is-the-semantic-web-7619485/7619485 juansequeda@slideshare.net(juansequeda) What is the Semantic Web juansequeda An intro talk to the Semantic Web and Linked Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantic-web-04-2011-110413162558-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An intro talk to the Semantic Web and Linked Data
What is the Semantic Web from Juan Sequeda
]]> 720 2 https://cdn.slidesharecdn.com/ss_thumbnails/semantic-web-04-2011-110413162558-phpapp01-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-juansequeda-48x48.jpg?cb=1610845464 Founder of Capsenta; Semantic Web, Database, Graph Researcher; BS & PhD in CS from UT Austin; NSF Graduate Research Fellow (2010-13); www.juansequeda.com https://cdn.slidesharecdn.com/ss_thumbnails/integratingsemanticwebwiththerealworld-journeybetweentwocities-2018-190107165552-thumbnail.jpg?width=320&height=320&fit=bounds juansequeda/integrating-semantic-web-with-the-real-world-a-journey-between-two-cities-2018 Integrating Semantic W... https://cdn.slidesharecdn.com/ss_thumbnails/integratingsemanticwebintherealworld-ajourneybetweentwocities-kcap2017keynote-171206180601-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/integrating-semantic-web-in-the-real-world-a-journey-between-two-cities/83502645 Integrating Semantic W... https://cdn.slidesharecdn.com/ss_thumbnails/integratingrelationaldatabaseswiththesemanticwebareflection-reasoningwebsummerschool2017-170708093055-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/integrating-relational-databases-with-the-semantic-web-a-reflection/77638460 Integrating Relational...