�ݺ�ߣshows by User: valexiev1

�ݺ�ߣshows by User: valexiev1 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: valexiev1 / Tue, 14 May 2019 07:34:47 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: valexiev1 Semantics and Machine Learning /slideshow/semantics-and-machine-learning/145454317 semantics-and-ml-190514073448
"Semantic Integration Is What You Do Before The Deep Learning". dev.bg Machine Learning seminar, 13 May 2019. It's well known that 80\% of the effort of a data scientist is spent on data preparation. Semantic integration is arguably the best way to spend this effort more efficiently and to reuse it between tasks, projects and organizations. Knowledge Graphs (KG) and Linked Open Data (LOD) have become very popular recently. They are used by Google, Amazon, Bing, Samsung, Springer Nature, Microsoft Academic, AirBnb… and any large enterprise that would like to have a holistic (360 degree) view of its business. The Semantic Web (web 3.0) is a way to build a Giant Global Graph, just like the normal web is a Global Web of Documents. IEEE already talks about Big Data Semantics. We review the topic of KGs and their applicability to Machine Learning.]]>
"Semantic Integration Is What You Do Before The Deep Learning". dev.bg Machine Learning seminar, 13 May 2019. It's well known that 80\% of the effort of a data scientist is spent on data preparation. Semantic integration is arguably the best way to spend this effort more efficiently and to reuse it between tasks, projects and organizations. Knowledge Graphs (KG) and Linked Open Data (LOD) have become very popular recently. They are used by Google, Amazon, Bing, Samsung, Springer Nature, Microsoft Academic, AirBnb… and any large enterprise that would like to have a holistic (360 degree) view of its business. The Semantic Web (web 3.0) is a way to build a Giant Global Graph, just like the normal web is a Global Web of Documents. IEEE already talks about Big Data Semantics. We review the topic of KGs and their applicability to Machine Learning.]]> Tue, 14 May 2019 07:34:47 GMT /slideshow/semantics-and-machine-learning/145454317 valexiev1@slideshare.net(valexiev1) Semantics and Machine Learning valexiev1 "Semantic Integration Is What You Do Before The Deep Learning". dev.bg Machine Learning seminar, 13 May 2019. It's well known that 80\% of the effort of a data scientist is spent on data preparation. Semantic integration is arguably the best way to spend this effort more efficiently and to reuse it between tasks, projects and organizations. Knowledge Graphs (KG) and Linked Open Data (LOD) have become very popular recently. They are used by Google, Amazon, Bing, Samsung, Springer Nature, Microsoft Academic, AirBnb… and any large enterprise that would like to have a holistic (360 degree) view of its business. The Semantic Web (web 3.0) is a way to build a Giant Global Graph, just like the normal web is a Global Web of Documents. IEEE already talks about Big Data Semantics. We review the topic of KGs and their applicability to Machine Learning. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantics-and-ml-190514073448-thumbnail.jpg?width=120&height=120&fit=bounds" /> "Semantic Integration Is What You Do Before The Deep Learning". dev.bg Machine Learning seminar, 13 May 2019. It's well known that 80\% of the effort of a data scientist is spent on data preparation. Semantic integration is arguably the best way to spend this effort more efficiently and to reuse it between tasks, projects and organizations. Knowledge Graphs (KG) and Linked Open Data (LOD) have become very popular recently. They are used by Google, Amazon, Bing, Samsung, Springer Nature, Microsoft Academic, AirBnb… and any large enterprise that would like to have a holistic (360 degree) view of its business. The Semantic Web (web 3.0) is a way to build a Giant Global Graph, just like the normal web is a Global Web of Documents. IEEE already talks about Big Data Semantics. We review the topic of KGs and their applicability to Machine Learning.

Semantics and Machine Learning from Vladimir Alexiev, PhD, PMP

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0 Museum LOD (Ontotext, 1 May 2019, Doha, Qatar) /slideshow/museum-lod-ontotext-1-may-2019-doha-qatar-143059902/143059902 museumlod-onto-qatar-190501092007
The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such challenges. Linked Open Data (LOD) enable large-scale Digital Humanities (DH) research, collaboration and aggregation, allowing DH researchers to make connections between (and make sense of) the multitude of digitized Cultural Heritage (CH) available on the web. An upsurge of interest in semtech and LOD has swept the CH and DH communities. An active Linked Open Data for Libraries, Archives and Museums (LODLAM) community exists, CH data is published as LOD, and international collaborations have emerged. The value of LOD is especially high in the GLAM sector, since culture by its very nature is cross-border and interlinked. We present interesting LODLAM projects, datasets, and ontologies, as well as Ontotext's experience in this domain. An extended paper on these topics is also available. It has 77 pages, 67 figures, detailed info about CH content and XML standards, Wikidata and global authority control. ]]>
The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such challenges. Linked Open Data (LOD) enable large-scale Digital Humanities (DH) research, collaboration and aggregation, allowing DH researchers to make connections between (and make sense of) the multitude of digitized Cultural Heritage (CH) available on the web. An upsurge of interest in semtech and LOD has swept the CH and DH communities. An active Linked Open Data for Libraries, Archives and Museums (LODLAM) community exists, CH data is published as LOD, and international collaborations have emerged. The value of LOD is especially high in the GLAM sector, since culture by its very nature is cross-border and interlinked. We present interesting LODLAM projects, datasets, and ontologies, as well as Ontotext's experience in this domain. An extended paper on these topics is also available. It has 77 pages, 67 figures, detailed info about CH content and XML standards, Wikidata and global authority control. ]]> Wed, 01 May 2019 09:20:07 GMT /slideshow/museum-lod-ontotext-1-may-2019-doha-qatar-143059902/143059902 valexiev1@slideshare.net(valexiev1) Museum LOD (Ontotext, 1 May 2019, Doha, Qatar) valexiev1 The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such challenges. Linked Open Data (LOD) enable large-scale Digital Humanities (DH) research, collaboration and aggregation, allowing DH researchers to make connections between (and make sense of) the multitude of digitized Cultural Heritage (CH) available on the web. An upsurge of interest in semtech and LOD has swept the CH and DH communities. An active Linked Open Data for Libraries, Archives and Museums (LODLAM) community exists, CH data is published as LOD, and international collaborations have emerged. The value of LOD is especially high in the GLAM sector, since culture by its very nature is cross-border and interlinked. We present interesting LODLAM projects, datasets, and ontologies, as well as Ontotext's experience in this domain. An extended paper on these topics is also available. It has 77 pages, 67 figures, detailed info about CH content and XML standards, Wikidata and global authority control. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/museumlod-onto-qatar-190501092007-thumbnail.jpg?width=120&height=120&fit=bounds" /> The Galleries, Libraries, Archives and Museums (GLAM) sector deals with complex and varied data. Integrating that data, especially across institutions, has always been a challenge. Semantic data integration is the best approach to deal with such challenges. Linked Open Data (LOD) enable large-scale Digital Humanities (DH) research, collaboration and aggregation, allowing DH researchers to make connections between (and make sense of) the multitude of digitized Cultural Heritage (CH) available on the web. An upsurge of interest in semtech and LOD has swept the CH and DH communities. An active Linked Open Data for Libraries, Archives and Museums (LODLAM) community exists, CH data is published as LOD, and international collaborations have emerged. The value of LOD is especially high in the GLAM sector, since culture by its very nature is cross-border and interlinked. We present interesting LODLAM projects, datasets, and ontologies, as well as Ontotext's experience in this domain. An extended paper on these topics is also available. It has 77 pages, 67 figures, detailed info about CH content and XML standards, Wikidata and global authority control.

Museum LOD (Ontotext, 1 May 2019, Doha, Qatar) from Vladimir Alexiev, PhD, PMP

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0 Linked Open Data and Ontotext Projects /slideshow/linked-open-data-and-ontotext-projects/122526592 20181109-clada-bg-ontotextandlod68slides-181109082831
Presentation at CLADA-BG Kickoff meeting, BAS IICT, Sofia, Bulgaria, 9 Nov 2018]]>
Presentation at CLADA-BG Kickoff meeting, BAS IICT, Sofia, Bulgaria, 9 Nov 2018]]> Fri, 09 Nov 2018 08:28:31 GMT /slideshow/linked-open-data-and-ontotext-projects/122526592 valexiev1@slideshare.net(valexiev1) Linked Open Data and Ontotext Projects valexiev1 Presentation at CLADA-BG Kickoff meeting, BAS IICT, Sofia, Bulgaria, 9 Nov 2018 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20181109-clada-bg-ontotextandlod68slides-181109082831-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation at CLADA-BG Kickoff meeting, BAS IICT, Sofia, Bulgaria, 9 Nov 2018

Linked Open Data and Ontotext Projects from Vladimir Alexiev, PhD, PMP

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0 Museum Linked Open Data: Ontologies, Datasets, Projects /slideshow/museum-linked-open-data-ontologies-datasets-projects/118146186 museumlinkedopendatadipp2018slides-181004142341
Invited report at Digital Presentation and Preservation of Cultural and Scientific Heritage (DIPP 2018), Burgas, Bulgaria. Report: http://dipp.math.bas.bg/images/2018/019-050_32_11-iDiPP2018-34.pdf]]>
Invited report at Digital Presentation and Preservation of Cultural and Scientific Heritage (DIPP 2018), Burgas, Bulgaria. Report: http://dipp.math.bas.bg/images/2018/019-050_32_11-iDiPP2018-34.pdf]]> Thu, 04 Oct 2018 14:23:41 GMT /slideshow/museum-linked-open-data-ontologies-datasets-projects/118146186 valexiev1@slideshare.net(valexiev1) Museum Linked Open Data: Ontologies, Datasets, Projects valexiev1 Invited report at Digital Presentation and Preservation of Cultural and Scientific Heritage (DIPP 2018), Burgas, Bulgaria. Report: http://dipp.math.bas.bg/images/2018/019-050_32_11-iDiPP2018-34.pdf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/museumlinkedopendatadipp2018slides-181004142341-thumbnail.jpg?width=120&height=120&fit=bounds" /> Invited report at Digital Presentation and Preservation of Cultural and Scientific Heritage (DIPP 2018), Burgas, Bulgaria. Report: http://dipp.math.bas.bg/images/2018/019-050_32_11-iDiPP2018-34.pdf

Museum Linked Open Data: Ontologies, Datasets, Projects from Vladimir Alexiev, PhD, PMP

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0 Ontotext Cultural Heritage and Digital Humanities Projects /slideshow/ontotext-cultural-heritage-and-digital-humanities-projects/102527471 20180613-clada-onto-ch-180616081817
2018-06-13, CLADA-BG (CLARIN+DARIAH) Meeting, Sofia]]>
2018-06-13, CLADA-BG (CLARIN+DARIAH) Meeting, Sofia]]> Sat, 16 Jun 2018 08:18:17 GMT /slideshow/ontotext-cultural-heritage-and-digital-humanities-projects/102527471 valexiev1@slideshare.net(valexiev1) Ontotext Cultural Heritage and Digital Humanities Projects valexiev1 2018-06-13, CLADA-BG (CLARIN+DARIAH) Meeting, Sofia <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20180613-clada-onto-ch-180616081817-thumbnail.jpg?width=120&height=120&fit=bounds" /> 2018-06-13, CLADA-BG (CLARIN+DARIAH) Meeting, Sofia

Ontotext Cultural Heritage and Digital Humanities Projects from Vladimir Alexiev, PhD, PMP

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0 euBusinessGraph Company and Economic Data /slideshow/eubusinessgraph-company-and-economic-data/79757793 eubusinessgraph-presentation-semantics2017-170914071325
Presentation at Semantics 2017, Sep 2017, Amsterdam. By Atanas Kiryakov, Vladimir Alexiev, Plamen Tarkalanov]]>
Presentation at Semantics 2017, Sep 2017, Amsterdam. By Atanas Kiryakov, Vladimir Alexiev, Plamen Tarkalanov]]> Thu, 14 Sep 2017 07:13:25 GMT /slideshow/eubusinessgraph-company-and-economic-data/79757793 valexiev1@slideshare.net(valexiev1) euBusinessGraph Company and Economic Data valexiev1 Presentation at Semantics 2017, Sep 2017, Amsterdam. By Atanas Kiryakov, Vladimir Alexiev, Plamen Tarkalanov <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eubusinessgraph-presentation-semantics2017-170914071325-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation at Semantics 2017, Sep 2017, Amsterdam. By Atanas Kiryakov, Vladimir Alexiev, Plamen Tarkalanov

euBusinessGraph Company and Economic Data from Vladimir Alexiev, PhD, PMP

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0 Semantic Archive Integration for Holocaust Research: the EHRI Research Infrastructure /slideshow/semantic-archive-integration-for-holocaust-research-the-ehri-research-infrastructure/77555244 alexiev-nikolova-semanticarchiveintegration-170705234458
The European Holocaust Research Infrastructure (EHRI) is a large-scale EU project that involves 23 institutions and archives working on Holocaust studies, from Europe, Israel and the US. In its first phase (2011-2015) it aggregated archival descriptions and materials on a large scale and built a Virtual Research Environment (portal) for Holocaust researchers based on a graph database. In its second phase (2015-2019), EHRI2 seeks to enhance the gathered materials using semantic approaches: enrichment, coreferencing, interlinking. Semantic integration involves four of the 14 EHRI2 work packages and helps integrate databases, free text, and metadata to interconnect historical entities (people, organizations, places, historic events) and create networks. We will present some of the EHRI2 technical work, including critical issues we have encountered. WP10 (EAD) converts archival descriptions from various formats to standard EAD XML; transports EADs using OAI PMH or ResourceSync; ingests EADs to the EHRI database; enables use cases such as synchronization; coreferencing of textual Access Points to proper thesaurus references WP11 (Authorities and Standards) consolidates and enlarges the EHRI authorities to render the indexing and retrieval of information more effective. It addresses Access Points in ingested EADs (normalization of Unicode, spelling, punctuation; deduplication; clustering; coreferencing to authority control), Subjects (deployment of a Thesaurus Management System in support of the EHRI Thesaurus Editorial Board), Places (coreferencing to Geonames); Camps and Ghettos (integrating data with Wikidata); Persons, Corporate Bodies (using USHMM HSV and VIAF); semantic (conceptual) search including hierarchical query expansion; interconnectivity of archival descriptions; permanent URLs; metadata quality; EAD RelaxNG and Schematron schemas and validation, etc. WP13 (Data Infrastructures) builds up domain knowledge bases from institutional databases by using deduplication, semantic data integration, semantic text analysis. It provides the foundation for research use cases on Jewish Social Networks and their impact on the chance of survival. WP14 (Digital Historiography Research) works on semantic text analysis (semantic enrichment), text similarity (e.g. clustering based on Neural Networks, LDA, etc), geo-mapping. It develops Digital Historiography researcher tools, including Prosopographical approaches.]]>
The European Holocaust Research Infrastructure (EHRI) is a large-scale EU project that involves 23 institutions and archives working on Holocaust studies, from Europe, Israel and the US. In its first phase (2011-2015) it aggregated archival descriptions and materials on a large scale and built a Virtual Research Environment (portal) for Holocaust researchers based on a graph database. In its second phase (2015-2019), EHRI2 seeks to enhance the gathered materials using semantic approaches: enrichment, coreferencing, interlinking. Semantic integration involves four of the 14 EHRI2 work packages and helps integrate databases, free text, and metadata to interconnect historical entities (people, organizations, places, historic events) and create networks. We will present some of the EHRI2 technical work, including critical issues we have encountered. WP10 (EAD) converts archival descriptions from various formats to standard EAD XML; transports EADs using OAI PMH or ResourceSync; ingests EADs to the EHRI database; enables use cases such as synchronization; coreferencing of textual Access Points to proper thesaurus references WP11 (Authorities and Standards) consolidates and enlarges the EHRI authorities to render the indexing and retrieval of information more effective. It addresses Access Points in ingested EADs (normalization of Unicode, spelling, punctuation; deduplication; clustering; coreferencing to authority control), Subjects (deployment of a Thesaurus Management System in support of the EHRI Thesaurus Editorial Board), Places (coreferencing to Geonames); Camps and Ghettos (integrating data with Wikidata); Persons, Corporate Bodies (using USHMM HSV and VIAF); semantic (conceptual) search including hierarchical query expansion; interconnectivity of archival descriptions; permanent URLs; metadata quality; EAD RelaxNG and Schematron schemas and validation, etc. WP13 (Data Infrastructures) builds up domain knowledge bases from institutional databases by using deduplication, semantic data integration, semantic text analysis. It provides the foundation for research use cases on Jewish Social Networks and their impact on the chance of survival. WP14 (Digital Historiography Research) works on semantic text analysis (semantic enrichment), text similarity (e.g. clustering based on Neural Networks, LDA, etc), geo-mapping. It develops Digital Historiography researcher tools, including Prosopographical approaches.]]> Wed, 05 Jul 2017 23:44:58 GMT /slideshow/semantic-archive-integration-for-holocaust-research-the-ehri-research-infrastructure/77555244 valexiev1@slideshare.net(valexiev1) Semantic Archive Integration for Holocaust Research: the EHRI Research Infrastructure valexiev1 The European Holocaust Research Infrastructure (EHRI) is a large-scale EU project that involves 23 institutions and archives working on Holocaust studies, from Europe, Israel and the US. In its first phase (2011-2015) it aggregated archival descriptions and materials on a large scale and built a Virtual Research Environment (portal) for Holocaust researchers based on a graph database. In its second phase (2015-2019), EHRI2 seeks to enhance the gathered materials using semantic approaches: enrichment, coreferencing, interlinking. Semantic integration involves four of the 14 EHRI2 work packages and helps integrate databases, free text, and metadata to interconnect historical entities (people, organizations, places, historic events) and create networks. We will present some of the EHRI2 technical work, including critical issues we have encountered. WP10 (EAD) converts archival descriptions from various formats to standard EAD XML; transports EADs using OAI PMH or ResourceSync; ingests EADs to the EHRI database; enables use cases such as synchronization; coreferencing of textual Access Points to proper thesaurus references WP11 (Authorities and Standards) consolidates and enlarges the EHRI authorities to render the indexing and retrieval of information more effective. It addresses Access Points in ingested EADs (normalization of Unicode, spelling, punctuation; deduplication; clustering; coreferencing to authority control), Subjects (deployment of a Thesaurus Management System in support of the EHRI Thesaurus Editorial Board), Places (coreferencing to Geonames); Camps and Ghettos (integrating data with Wikidata); Persons, Corporate Bodies (using USHMM HSV and VIAF); semantic (conceptual) search including hierarchical query expansion; interconnectivity of archival descriptions; permanent URLs; metadata quality; EAD RelaxNG and Schematron schemas and validation, etc. WP13 (Data Infrastructures) builds up domain knowledge bases from institutional databases by using deduplication, semantic data integration, semantic text analysis. It provides the foundation for research use cases on Jewish Social Networks and their impact on the chance of survival. WP14 (Digital Historiography Research) works on semantic text analysis (semantic enrichment), text similarity (e.g. clustering based on Neural Networks, LDA, etc), geo-mapping. It develops Digital Historiography researcher tools, including Prosopographical approaches. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/alexiev-nikolova-semanticarchiveintegration-170705234458-thumbnail.jpg?width=120&height=120&fit=bounds" /> The European Holocaust Research Infrastructure (EHRI) is a large-scale EU project that involves 23 institutions and archives working on Holocaust studies, from Europe, Israel and the US. In its first phase (2011-2015) it aggregated archival descriptions and materials on a large scale and built a Virtual Research Environment (portal) for Holocaust researchers based on a graph database. In its second phase (2015-2019), EHRI2 seeks to enhance the gathered materials using semantic approaches: enrichment, coreferencing, interlinking. Semantic integration involves four of the 14 EHRI2 work packages and helps integrate databases, free text, and metadata to interconnect historical entities (people, organizations, places, historic events) and create networks. We will present some of the EHRI2 technical work, including critical issues we have encountered. WP10 (EAD) converts archival descriptions from various formats to standard EAD XML; transports EADs using OAI PMH or ResourceSync; ingests EADs to the EHRI database; enables use cases such as synchronization; coreferencing of textual Access Points to proper thesaurus references WP11 (Authorities and Standards) consolidates and enlarges the EHRI authorities to render the indexing and retrieval of information more effective. It addresses Access Points in ingested EADs (normalization of Unicode, spelling, punctuation; deduplication; clustering; coreferencing to authority control), Subjects (deployment of a Thesaurus Management System in support of the EHRI Thesaurus Editorial Board), Places (coreferencing to Geonames); Camps and Ghettos (integrating data with Wikidata); Persons, Corporate Bodies (using USHMM HSV and VIAF); semantic (conceptual) search including hierarchical query expansion; interconnectivity of archival descriptions; permanent URLs; metadata quality; EAD RelaxNG and Schematron schemas and validation, etc. WP13 (Data Infrastructures) builds up domain knowledge bases from institutional databases by using deduplication, semantic data integration, semantic text analysis. It provides the foundation for research use cases on Jewish Social Networks and their impact on the chance of survival. WP14 (Digital Historiography Research) works on semantic text analysis (semantic enrichment), text similarity (e.g. clustering based on Neural Networks, LDA, etc), geo-mapping. It develops Digital Historiography researcher tools, including Prosopographical approaches.

Semantic Archive Integration for Holocaust Research: the EHRI Research Infrastructure from Vladimir Alexiev, PhD, PMP

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0 GLAMs working with Wikidata /slideshow/glams-working-with-wikidata/48115332 glams-working-with-wikidata-150513185926-lva1-app6891
How GLAMs can use Wikipedia/Wikidata to make their collections globally accessible across languages. Europeana Food and Drink content providers workshop, Athens, 18 May 2015]]>
How GLAMs can use Wikipedia/Wikidata to make their collections globally accessible across languages. Europeana Food and Drink content providers workshop, Athens, 18 May 2015]]> Wed, 13 May 2015 18:59:26 GMT /slideshow/glams-working-with-wikidata/48115332 valexiev1@slideshare.net(valexiev1) GLAMs working with Wikidata valexiev1 How GLAMs can use Wikipedia/Wikidata to make their collections globally accessible across languages. Europeana Food and Drink content providers workshop, Athens, 18 May 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/glams-working-with-wikidata-150513185926-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> How GLAMs can use Wikipedia/Wikidata to make their collections globally accessible across languages. Europeana Food and Drink content providers workshop, Athens, 18 May 2015

GLAMs working with Wikidata from Vladimir Alexiev, PhD, PMP

]]> 2237 10 https://cdn.slidesharecdn.com/ss_thumbnails/glams-working-with-wikidata-150513185926-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 Wikidata, a target for Europeana’s semantic strategy (Glam-Wiki 2015) /valexiev1/wikidata-a-target-for-europeanas-semantic-strategy-glamwiki-2015 glamwiki2015final-150411064256-conversion-gate01
Valentine Charles, Hugo Manguinhas, Vladimir Alexiev. Glam-Wiki 2015, 11 Apr 2015, The Hague For Europeana, the platform for Europe’s digital cultural heritage from libraries, museums and archives, getting richer (semantic and multilingual) metadata is a priority. It improves access to the 40 million cultural heritage objects, notably enabling the multilingual retrieval of documents and creates relations between objects. To enhance data and enable retrieval across languages, Europeana performs automatic enrichment by selecting source metadata field(s) in the Europeana data and creating links to a selected target vocabulary or dataset representing contextual resources such as places, concepts, agents and time periods. Wikidata is since a while on Europeana’s radar as a potential new target for enrichment but how can it be integrated with cultural heritage data? https://nl.wikimedia.org/wiki/GLAM-WIKI_2015/Programme/Discussions/Strategy#Presentation:_Wikidata.2C_a_target_for_Europeana.E2.80.99s_semantic_strategy.3F]]>
Valentine Charles, Hugo Manguinhas, Vladimir Alexiev. Glam-Wiki 2015, 11 Apr 2015, The Hague For Europeana, the platform for Europe’s digital cultural heritage from libraries, museums and archives, getting richer (semantic and multilingual) metadata is a priority. It improves access to the 40 million cultural heritage objects, notably enabling the multilingual retrieval of documents and creates relations between objects. To enhance data and enable retrieval across languages, Europeana performs automatic enrichment by selecting source metadata field(s) in the Europeana data and creating links to a selected target vocabulary or dataset representing contextual resources such as places, concepts, agents and time periods. Wikidata is since a while on Europeana’s radar as a potential new target for enrichment but how can it be integrated with cultural heritage data? https://nl.wikimedia.org/wiki/GLAM-WIKI_2015/Programme/Discussions/Strategy#Presentation:_Wikidata.2C_a_target_for_Europeana.E2.80.99s_semantic_strategy.3F]]> Sat, 11 Apr 2015 06:42:55 GMT /valexiev1/wikidata-a-target-for-europeanas-semantic-strategy-glamwiki-2015 valexiev1@slideshare.net(valexiev1) Wikidata, a target for Europeana’s semantic strategy (Glam-Wiki 2015) valexiev1 Valentine Charles, Hugo Manguinhas, Vladimir Alexiev. Glam-Wiki 2015, 11 Apr 2015, The Hague For Europeana, the platform for Europe’s digital cultural heritage from libraries, museums and archives, getting richer (semantic and multilingual) metadata is a priority. It improves access to the 40 million cultural heritage objects, notably enabling the multilingual retrieval of documents and creates relations between objects. To enhance data and enable retrieval across languages, Europeana performs automatic enrichment by selecting source metadata field(s) in the Europeana data and creating links to a selected target vocabulary or dataset representing contextual resources such as places, concepts, agents and time periods. Wikidata is since a while on Europeana’s radar as a potential new target for enrichment but how can it be integrated with cultural heritage data? https://nl.wikimedia.org/wiki/GLAM-WIKI_2015/Programme/Discussions/Strategy#Presentation:_Wikidata.2C_a_target_for_Europeana.E2.80.99s_semantic_strategy.3F <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/glamwiki2015final-150411064256-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Valentine Charles, Hugo Manguinhas, Vladimir Alexiev. Glam-Wiki 2015, 11 Apr 2015, The Hague For Europeana, the platform for Europe’s digital cultural heritage from libraries, museums and archives, getting richer (semantic and multilingual) metadata is a priority. It improves access to the 40 million cultural heritage objects, notably enabling the multilingual retrieval of documents and creates relations between objects. To enhance data and enable retrieval across languages, Europeana performs automatic enrichment by selecting source metadata field(s) in the Europeana data and creating links to a selected target vocabulary or dataset representing contextual resources such as places, concepts, agents and time periods. Wikidata is since a while on Europeana’s radar as a potential new target for enrichment but how can it be integrated with cultural heritage data? https://nl.wikimedia.org/wiki/GLAM-WIKI_2015/Programme/Discussions/Strategy#Presentation:_Wikidata.2C_a_target_for_Europeana.E2.80.99s_semantic_strategy.3F

Wikidata, a target for Europeana’s semantic strategy (Glam-Wiki 2015) from Vladimir Alexiev, PhD, PMP

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0 Europeana Food and Drink Classification Scheme /valexiev1/europeana-food-and-drink-classification-scheme efd-classification-150327093614-conversion-gate01
Europeana Food and Drink annual meeting, 20 Mar 2015, Athens, Greece. Full report: http://vladimiralexiev.github.io/pubs/Europeana-Food-and-Drink-Classification-Scheme-(D2.2).pdf]]>
Europeana Food and Drink annual meeting, 20 Mar 2015, Athens, Greece. Full report: http://vladimiralexiev.github.io/pubs/Europeana-Food-and-Drink-Classification-Scheme-(D2.2).pdf]]> Fri, 27 Mar 2015 09:36:12 GMT /valexiev1/europeana-food-and-drink-classification-scheme valexiev1@slideshare.net(valexiev1) Europeana Food and Drink Classification Scheme valexiev1 Europeana Food and Drink annual meeting, 20 Mar 2015, Athens, Greece. Full report: http://vladimiralexiev.github.io/pubs/Europeana-Food-and-Drink-Classification-Scheme-(D2.2).pdf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/efd-classification-150327093614-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Europeana Food and Drink annual meeting, 20 Mar 2015, Athens, Greece. Full report: http://vladimiralexiev.github.io/pubs/Europeana-Food-and-Drink-Classification-Scheme-(D2.2).pdf

Europeana Food and Drink Classification Scheme from Vladimir Alexiev, PhD, PMP

]]> 1530 8 https://cdn.slidesharecdn.com/ss_thumbnails/efd-classification-150327093614-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 Adding a DBpedia Mapping /slideshow/add-mapping/44640957 add-mapping-150213074303-conversion-gate01
DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping-long.html]]>
DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping-long.html]]> Fri, 13 Feb 2015 07:43:03 GMT /slideshow/add-mapping/44640957 valexiev1@slideshare.net(valexiev1) Adding a DBpedia Mapping valexiev1 DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping-long.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/add-mapping-150213074303-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/add-mapping-long.html

Adding a DBpedia Mapping from Vladimir Alexiev, PhD, PMP

]]> 976 1 https://cdn.slidesharecdn.com/ss_thumbnails/add-mapping-150213074303-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 DBpedia Ontology and Mapping Problems /slideshow/dbpedia-problems/44640696 dbpedia-problems-150213073512-conversion-gate01
DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems-long.html]]>
DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems-long.html]]> Fri, 13 Feb 2015 07:35:12 GMT /slideshow/dbpedia-problems/44640696 valexiev1@slideshare.net(valexiev1) DBpedia Ontology and Mapping Problems valexiev1 DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems-long.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dbpedia-problems-150213073512-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> DBpedia Meeting, Dublin, 9 Feb 2015 - interactive: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems.html - continuous: http://vladimiralexiev.github.io/pres/20150209-dbpedia/dbpedia-problems-long.html

DBpedia Ontology and Mapping Problems from Vladimir Alexiev, PhD, PMP

]]> 1640 8 https://cdn.slidesharecdn.com/ss_thumbnails/dbpedia-problems-150213073512-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 20140521 sem-tech-biz-guest-lecture /slideshow/20140521-semtechbizguestlecture/40675601 20140521-sem-tech-biz-guest-lecture-141024052503-conversion-gate02
Information School, University of Washington, 2014-05-21: INFX 598 - Introducing Linked Data: concepts, methods and tools. Guest lecture (Module 9) "Doing Business with Semantic Technologies": Introduction to Ontotext and some of its products, clients and projects. Also see video:https://voicethread.com/myvoice/#thread/5784646/29625471/31274564]]>
Information School, University of Washington, 2014-05-21: INFX 598 - Introducing Linked Data: concepts, methods and tools. Guest lecture (Module 9) "Doing Business with Semantic Technologies": Introduction to Ontotext and some of its products, clients and projects. Also see video:https://voicethread.com/myvoice/#thread/5784646/29625471/31274564]]> Fri, 24 Oct 2014 05:25:03 GMT /slideshow/20140521-semtechbizguestlecture/40675601 valexiev1@slideshare.net(valexiev1) 20140521 sem-tech-biz-guest-lecture valexiev1 Information School, University of Washington, 2014-05-21: INFX 598 - Introducing Linked Data: concepts, methods and tools. Guest lecture (Module 9) "Doing Business with Semantic Technologies": Introduction to Ontotext and some of its products, clients and projects. Also see video:https://voicethread.com/myvoice/#thread/5784646/29625471/31274564 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20140521-sem-tech-biz-guest-lecture-141024052503-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Information School, University of Washington, 2014-05-21: INFX 598 - Introducing Linked Data: concepts, methods and tools. Guest lecture (Module 9) "Doing Business with Semantic Technologies": Introduction to Ontotext and some of its products, clients and projects. Also see video:https://voicethread.com/myvoice/#thread/5784646/29625471/31274564

20140521 sem-tech-biz-guest-lecture from Vladimir Alexiev, PhD, PMP

]]> 730 2 https://cdn.slidesharecdn.com/ss_thumbnails/20140521-sem-tech-biz-guest-lecture-141024052503-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 Semantic Technology in Publishing & Finance /slideshow/semantic-technology-in-publishing-finance/40674987 ontotext-publishingfinance-keystone-20141018-141024050633-conversion-gate02
Triplestores and inference, applications in Finance, text-mining. Projects and solutions for financial media and publishers. Keystone Industrial Panel, ISWC 2014, Riva del Garda, 18 Oct 2014. Thanks to Atanas Kiryakov for this presentation, I just cut it to size.]]>
Triplestores and inference, applications in Finance, text-mining. Projects and solutions for financial media and publishers. Keystone Industrial Panel, ISWC 2014, Riva del Garda, 18 Oct 2014. Thanks to Atanas Kiryakov for this presentation, I just cut it to size.]]> Fri, 24 Oct 2014 05:06:33 GMT /slideshow/semantic-technology-in-publishing-finance/40674987 valexiev1@slideshare.net(valexiev1) Semantic Technology in Publishing & Finance valexiev1 Triplestores and inference, applications in Finance, text-mining. Projects and solutions for financial media and publishers. Keystone Industrial Panel, ISWC 2014, Riva del Garda, 18 Oct 2014. Thanks to Atanas Kiryakov for this presentation, I just cut it to size. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ontotext-publishingfinance-keystone-20141018-141024050633-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Triplestores and inference, applications in Finance, text-mining. Projects and solutions for financial media and publishers. Keystone Industrial Panel, ISWC 2014, Riva del Garda, 18 Oct 2014. Thanks to Atanas Kiryakov for this presentation, I just cut it to size.

Semantic Technology in Publishing & Finance from Vladimir Alexiev, PhD, PMP

]]> 1392 4 https://cdn.slidesharecdn.com/ss_thumbnails/ontotext-publishingfinance-keystone-20141018-141024050633-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

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0 Getty Vocabulary Program LOD: Ontologies and Semantic Representation /slideshow/gvp-lodcidoc/39704507 gvp-lod-cidoc-140930091114-phpapp01
Full version of http://www.slideshare.net/valexiev1/gvp-lodcidocshort. Same is available on http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version. 2014-09-09: Getty special session: short version]]>
Full version of http://www.slideshare.net/valexiev1/gvp-lodcidocshort. Same is available on http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version. 2014-09-09: Getty special session: short version]]> Tue, 30 Sep 2014 09:11:14 GMT /slideshow/gvp-lodcidoc/39704507 valexiev1@slideshare.net(valexiev1) Getty Vocabulary Program LOD: Ontologies and Semantic Representation valexiev1 Full version of http://www.slideshare.net/valexiev1/gvp-lodcidocshort. Same is available on http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version. 2014-09-09: Getty special session: short version <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gvp-lod-cidoc-140930091114-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Full version of http://www.slideshare.net/valexiev1/gvp-lodcidocshort. Same is available on http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version. 2014-09-09: Getty special session: short version

Getty Vocabulary Program LOD: Ontologies and Semantic Representation from Vladimir Alexiev, PhD, PMP

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0 Getty Vocabulary Program LOD: Ontologies and Semantic Representation /slideshow/gvp-lodcidocshort/39011395 gvp-lod-cidoc-short-140912070555-phpapp02
CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version (http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html) 2014-09-09: Getty special session: short version (http://VladimirAlexiev.github.io/pres/20140905-CIDOC-GVP/GVP-LOD-CIDOC-short.pdf)]]>
CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version (http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html) 2014-09-09: Getty special session: short version (http://VladimirAlexiev.github.io/pres/20140905-CIDOC-GVP/GVP-LOD-CIDOC-short.pdf)]]> Fri, 12 Sep 2014 07:05:55 GMT /slideshow/gvp-lodcidocshort/39011395 valexiev1@slideshare.net(valexiev1) Getty Vocabulary Program LOD: Ontologies and Semantic Representation valexiev1 CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version (http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html) 2014-09-09: Getty special session: short version (http://VladimirAlexiev.github.io/pres/20140905-CIDOC-GVP/GVP-LOD-CIDOC-short.pdf) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gvp-lod-cidoc-short-140912070555-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> CIDOC Congress, Dresden, Germany 2014-09-05: International Terminology Working Group: full version (http://vladimiralexiev.github.io/pres/20140905-CIDOC-GVP/index.html) 2014-09-09: Getty special session: short version (http://VladimirAlexiev.github.io/pres/20140905-CIDOC-GVP/GVP-LOD-CIDOC-short.pdf)

Getty Vocabulary Program LOD: Ontologies and Semantic Representation from Vladimir Alexiev, PhD, PMP

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0 Sem tech in CH, Linked Data Meetup, 2014-08-21, Malmo, Sweden /slideshow/sem-techch-malmo/38454264 semtechch-malmo-140828093707-phpapp02
- 2D interactive version: http://vladimiralexiev.github.io/pres/20140821-Malmo/index.html - PDF: http://vladimiralexiev.github.io/pres/20140821-Malmo/SemTechCH-Malmo.pdf]]>
- 2D interactive version: http://vladimiralexiev.github.io/pres/20140821-Malmo/index.html - PDF: http://vladimiralexiev.github.io/pres/20140821-Malmo/SemTechCH-Malmo.pdf]]> Thu, 28 Aug 2014 09:37:07 GMT /slideshow/sem-techch-malmo/38454264 valexiev1@slideshare.net(valexiev1) Sem tech in CH, Linked Data Meetup, 2014-08-21, Malmo, Sweden valexiev1 - 2D interactive version: http://vladimiralexiev.github.io/pres/20140821-Malmo/index.html - PDF: http://vladimiralexiev.github.io/pres/20140821-Malmo/SemTechCH-Malmo.pdf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semtechch-malmo-140828093707-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> - 2D interactive version: http://vladimiralexiev.github.io/pres/20140821-Malmo/index.html - PDF: http://vladimiralexiev.github.io/pres/20140821-Malmo/SemTechCH-Malmo.pdf

Sem tech in CH, Linked Data Meetup, 2014-08-21, Malmo, Sweden from Vladimir Alexiev, PhD, PMP

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0 Semantic technologies for cultural heritage /slideshow/semantic-technologies-for-cultural-heritage-35749530/35749530 semantictechnologiesforculturalheritage-140611094735-phpapp01
Presentation at SmartCulture conference, 2014-06-11, Brussels]]>
Presentation at SmartCulture conference, 2014-06-11, Brussels]]> Wed, 11 Jun 2014 09:47:34 GMT /slideshow/semantic-technologies-for-cultural-heritage-35749530/35749530 valexiev1@slideshare.net(valexiev1) Semantic technologies for cultural heritage valexiev1 Presentation at SmartCulture conference, 2014-06-11, Brussels <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semantictechnologiesforculturalheritage-140611094735-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation at SmartCulture conference, 2014-06-11, Brussels

Semantic technologies for cultural heritage from Vladimir Alexiev, PhD, PMP

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0 Europeana Creative. EDM Endpoint. Custom Views /slideshow/ikonomov2013-europeana-creativeedmslides/27402262 ikonomov2013-europeanacreative-edm-slides-131021033711-phpapp01
Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013.]]>
Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013.]]> Mon, 21 Oct 2013 03:37:11 GMT /slideshow/ikonomov2013-europeana-creativeedmslides/27402262 valexiev1@slideshare.net(valexiev1) Europeana Creative. EDM Endpoint. Custom Views valexiev1 Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ikonomov2013-europeanacreative-edm-slides-131021033711-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013.

Europeana Creative. EDM Endpoint. Custom Views from Vladimir Alexiev, PhD, PMP

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0 Europeana Creative. EDM Endpoint. Custom Views /slideshow/ikonomov2013-europeana-creativeedm-27205917/27205917 ikonomov2013-europeanacreative-edm-131015084701-phpapp02
Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013]]>
Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013]]> Tue, 15 Oct 2013 08:47:01 GMT /slideshow/ikonomov2013-europeana-creativeedm-27205917/27205917 valexiev1@slideshare.net(valexiev1) Europeana Creative. EDM Endpoint. Custom Views valexiev1 Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ikonomov2013-europeanacreative-edm-131015084701-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Nikola Ikonomov, Boyan Simeonov, Jana Parvanova and Vladimir Alexiev. In Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP 2013), Veliko Tarnovo, Bulgaria, Sep 2013

Europeana Creative. EDM Endpoint. Custom Views from Vladimir Alexiev, PhD, PMP

]]> 588 3 https://cdn.slidesharecdn.com/ss_thumbnails/ikonomov2013-europeanacreative-edm-131015084701-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-valexiev1-48x48.jpg?cb=1711570109 MS and PhD degree in Computer Science, Project Management Professional (PMP) certification, 30 years IT experience, 15y experience leading R&D of software companies, 8y semantic technologies, 7 years cultural heritage. www.ontotext.com https://cdn.slidesharecdn.com/ss_thumbnails/semantics-and-ml-190514073448-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/semantics-and-machine-learning/145454317 Semantics and Machine ... https://cdn.slidesharecdn.com/ss_thumbnails/museumlod-onto-qatar-190501092007-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/museum-lod-ontotext-1-may-2019-doha-qatar-143059902/143059902 Museum LOD (Ontotext, ... https://cdn.slidesharecdn.com/ss_thumbnails/20181109-clada-bg-ontotextandlod68slides-181109082831-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/linked-open-data-and-ontotext-projects/122526592 Linked Open Data and O...