Ontotext short presentation at LODLAM Summit 2013
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- Ontotext is an innovative semantic technology company that has been working in the field since 2000 and spun off in 2008, employing 70 people. - They provide 360 degree semantic solutions including semantic annotation, text analysis, concept extraction, semantic search and repositories, and applications in media, life sciences, and cultural heritage. - Ontotext has developed large semantic knowledge bases for clients like Europeana and the UK National Archives, extracting billions of facts from texts and providing semantic search capabilities.
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Semantics and 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.
Museum LOD (Ontotext, 1 May 2019, Doha, Qatar)
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.
Ontotext Cultural Heritage and Digital Humanities Projects
Ontotext provides concise summaries in 3 sentences or less that provide the high level and essential information from the document.
Ontotext is a software company that works on semantic technologies and knowledge graphs for cultural heritage and digital humanities projects. They have developed applications like ResearchSpace for museums and ConservationSpace for conservation specialists. They also contribute linked open data to projects like Europeana, Wikidata, and DBpedia and provide consulting services to institutions like museums and national aggregators.
euBusinessGraph Company and Economic Data
Presentation at Semantics 2017, Sep 2017, Amsterdam.
By Atanas Kiryakov, Vladimir Alexiev, Plamen Tarkalanov
Semantic Archive Integration for Holocaust Research: the EHRI Research Infras...
Semantic Archive Integration for Holocaust Research: the EHRI Research Infras...Vladimir Alexiev, PhD, PMP
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.GLAMs working with Wikidata
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
Wikidata, a target for Europeana’s semantic strategy (Glam-Wiki 2015)
Wikidata is being considered as a target for Europeana's semantic strategy to enrich metadata and link cultural heritage objects. Wikidata provides multilingual information on entities like people, organizations, places and concepts from Wikipedia. It has potential to help solve Europeana's challenges around data diversity, quality and interlinking due to its connections to other vocabularies and ability to perform automatic enrichment. Europeana aims to semantically enrich its data and link objects to Wikidata entities to provide additional context. Content providers are also encouraged to contribute information to Wikidata to further enhance the semantic knowledge graph.
Europeana Food and Drink Classification Scheme
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
Adding a DBpedia Mapping
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 Ontology and Mapping Problems
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
20140521 sem-tech-biz-guest-lecture
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
Semantic Technology in Publishing & Finance
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.
Getty Vocabulary Program LOD: Ontologies and Semantic Representation
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
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)
Sem tech in CH, Linked Data Meetup, 2014-08-21, Malmo, Sweden
- 2D interactive version: http://vladimiralexiev.github.io/pres/20140821-Malmo/index.html
- PDF: http://vladimiralexiev.github.io/pres/20140821-Malmo/SemTechCH-Malmo.pdf
Semantic technologies for cultural heritage
This document discusses semantic technologies for cultural heritage. It introduces Ontotext Corp, which develops semantic technology, and some of their projects involving cultural heritage data. These include the ResearchSpace project with the British Museum, projects involving Europeana like Bulgariana and Europeana Creative, and publishing Getty vocabularies as linked open data.
Europeana Creative. EDM Endpoint. Custom Views
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
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
Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...
Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...Vladimir Alexiev, PhD, PMP
Vladimir Alexiev, Dimitar Manov, Jana Parvanova and Svetoslav Petrov. In proceedings of workshop Practical Experiences with CIDOC CRM and its Extensions (CRMEX 2013) at TPDL 2013, 26 Sep 2013, Valetta, Malta Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...
Large-scale Reasoning with a Complex Cultural Heritage Ontology (CIDOC CRM) ...Vladimir Alexiev, PhD, PMP
Vladimir Alexiev, Dimitar Manov, Jana Parvanova and Svetoslav Petrov. In proceedings of workshop Practical Experiences with CIDOC CRM and its Extensions (CRMEX 2013) at TPDL 2013, 26 Sep 2013, Valetta, MaltaMore from Vladimir Alexiev, PhD, PMP (20)
Ontotext Cultural Heritage and Digital Humanities Projects
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Semantic Archive Integration for Holocaust Research: the EHRI Research Infras...
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Sem tech in CH, Linked Data Meetup, 2014-08-21, Malmo, Sweden
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Ontotext short presentation at LODLAM Summit 2013
- 1. • Innovative BG company, global leader in sem tech – Working in sem tech since 2000, spun off 2008. 70 employees/contractors • 360 degree semantic technology – Semantic Annotation, Text Analysis, Concept Extraction, Semantic Search (KIM) – Semantic repository, reasoning, scalability, clustering (OWLIM) – Data management/conversion, Ontology engineering, RDF warehouses, LOD – Web mining: focused crawling, information extraction – Vertical applications: media/publishing, life sciences, cultural heritage A world-class semantic tech provider Ontotext Short, LODLAM Summit 2013 #119-Jun-13
- 2. Typical processing architecture Ontotext Short, LODLAM Summit 2013 #219-Jun-13
- 3. European Research Projects Ontotext Short, LODLAM Summit 2013 #319-Jun-13
- 4. Some Ontotext Clients Ontotext Short, LODLAM Summit 2013 #419-Jun-13
- 5. • www.linkedlifedata.com: 10.2B triples • www.facforge.net: 3.5B • europeana.ontotext.com: 3.8B (EDM) • test.researchspace.org:8081/sparql: 1.7B (BM in CRM) • http://www.ontotext.com/CRMEX : workshop Practical applications of CRM Large-scale RDF data & reasoning Ontotext Short, LODLAM Summit 2013 #519-Jun-13
- 6. UK National Archives: Semantic KB • Semantic index for the entire UK Government Web Archive • 700M documents: 42TB, 1.3B files • 160M unique documents after de-duplication • Background knowledge (UK Government Ontology): 5B facts • Automatic text analysis: extracted 3B facts of metadata • Faceted semantic search in KIM • 33K hours of cloud processing; up to 500 servers • www.ontotext.com/case/nationalArchives -skb Ontotext Short, LODLAM Summit 2013 #619-Jun-13
- 7. RS Semantic Search Ontotext Short, LODLAM Summit 2013 #719-Jun-13
Editor's Notes
- Jun 19, 2013 <Insert Header&Footer from ribbon menu, not here>