Enterprise semantics
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The document presents a webinar on enterprise semantics, highlighting its use cases, technologies, and applications for improving data accessibility and search capabilities within organizations. Key concepts include concept-based semantic search, linked enterprise vocabularies, and integration of various data sources to enable complex queries. The discussion emphasizes the importance of a unified data model and effective communication across business processes to enhance information retrieval and analysis.
Enterprise semantics
- 1. Enterprise Semantics Use Cases & Applications Andreas Blumauer Semantic Web Company www.semantic-web.at www.poolparty.biz
- 2. Presenters Welcome to the webinar! Andreas Blumauer Juan Sequeda Semantic Web Company Capsenta (Vienna, AT) (Austin, TX) © Semantic Web Company – http://www.semantic-web.at/ 2
- 3. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 3
- 4. Enterprise semantics – use cases The basic idea: What if we could make queries by using our own words over a large variety of data sources in our enterprises as they were in one large knowledge base? Concept based enterprise search Better search results across various sources with help from an enterprise vocabulary Topic pages: 360O views All kind of data and information about all kind of things (business objects) in one place at your fingertips Complex queries Link information from unstructured & structured data sources to answer queries more complex than ‚Where is my pizza?‘ © Semantic Web Company – http://www.semantic-web.at/ 4
- 5. The challenge Information overload: The strange feeling of having a lot of data in many silos which actually would be sufficient to give answers to important questions if they were only better accessible and linked to each other. Reports Profit increase AT +2% BE -3% CHN +8% While BMW profit GER +1% rose overall, earnings from FRA -5% cars alone fell UK -4% because of lower US +1% prices in England, Germany and France. © Semantic Web Company – http://www.semantic-web.at/ 5
- 6. Concept-based semantic search pipe search Semantic: prefLabel Can the search pipe pipe phrase altLa b el be found narrower tube tube Traditional: analogously? Can the search phrase be found literally prefLabel ERW ERW in the document? --- -- ----- -- --- -- -- --- ------ ---- --- ------ --- ------ --- ------ --- ---- ------ --- --- --- ----ERW ----ERW --- ---- ----- ---- ----- ---- ---- ---- ---- --- ---- --- © Semantic Web Company – http://www.semantic-web.at/ 6
- 7. Topic pages: 360O views on business objects Articles (twitter, videos etc.) can be retrieved Short from various content sources description http: http: Related concepts CMS CMS Geo search API API © Semantic Web Company – http://www.semantic-web.at/ 7
- 8. Example: Energy Country Profiles http://reegle.info/countries
- 9. Complex queries Example query: „Show all reports in which at least one of our competitors and trends on markets are mentioned in which our profit increased last year by at least 2%.“ Reports Profit AT +2% BE -3% CHN +8% While BMW profit GER +1% rose overall, FRA -5% earnings from cars UK +4% alone fell because of lower prices in US +1% England, Germany and the US. © Semantic Web Company – http://www.semantic-web.at/ 9
- 10. The enterprise search and business intelligence market Year in which the 2014 Semantics is explicitly available via linked knowledge graphs. underlying Content from various sources and deparments can be linked and technology will Linked Data mashed on top of an explicit meta data layer. Complex queries be/has been rolled based search which use data from many sources can be made by using the out. standard query language SPARQL. 2011 Semantics is explicitly available by using controlled vocabularies and thesauri. Thesauri are the basis for precise Concept- text analysis and to build a semantic index. Building knowledge based search models is especially cost-efficient for larger organisations since a more precise search can be provided. No Standards 2005 Semantics is calculated by text analysis. Example: Because Term-based „Dieter Zetsche“ frequently occurs together with „Daimler AG“ in a text the algorithm assumes that those two phrases search relate somehow to each other. Term-based methods are less precise than the two from further above. © Semantic Web Company – http://www.semantic-web.at/ 10
- 11. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 11
- 12. The Linked Data solution approach One data model (RDF) which is expressive and flexible enough to describe data from the relational world, XML and text. One semantics (SKOS) which is expressive and flexible enough to describe and to align the meaning of data from various domains. One query language (SPARQL) which is expressive and flexible enough to do queries (reports) across various data sources. The World Wide Web Consortium (W3C) has released in recent years a series of standards which were especially developed for data management in agile, distributed and networked systems, e.g. the World Wide Web or also global enterprises or NPOs. © Semantic Web Company – http://www.semantic-web.at/ 12
- 13. The RDF/SKOS Enterprise Data Bus RDF is W3C standard since 1999, SPARQL is W3C standard since 2008. SKOS is W3C standard since 2009. RDFa is W3C standard since 2012. R2RML is W3C standard since 2012. All data in one data model (RDF), one semantics describing all data (SKOS) SKOS-based RDFa, SKOS- XML2RDF R2RML entity based entity mappings, SKOS- mapping, SKOS- extraction extraction based entity based entity extraction extraction <XML> © Semantic Web Company – http://www.semantic-web.at/ 13
- 14. Yet another data silo? SPARQL 1.1 Federated Query is a proposed W3C standard since 2012 <XML> © Semantic Web Company – http://www.semantic-web.at/ 14
- 15. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 15
- 16. Business groups share common processes, topics. But how do they communicate? Research HR Marketing Production
- 17. Is it through a common vocabulary? Or common understanding? Innovation management Innovation management HR Marketing
- 18. Globalization + Localization = New demands on business vocabularies Luxury car Luxury car Marketing (U.S.) Marketing (Europe)
- 19. Querying third-party data in your own language ‘Lean manufacturing’ Search Research ‘Lean enterprise’ Production
- 20. Thesaurus Alignment: Use of common phrases with similar meanings Lean manufacuring Lean production Production Research
- 21. Similar concepts, but different contexts Corporate Semantic http://company.com/ skos:exactMatch http://dbpedia.org/r http://dbpedia.org/r esource/Lean_Manuf esource/Lean_Manuf Web core/23432 acturing acturing skos:exactMatch skos:closeMatch http://company.com http://company.com /research/1452 skos:closeMatch /production/729 prefLabel:Lean manufacturing prefLabel:Lean production altLabel: Lean production altLabel: Lean enterprise broader: Lean concepts broader: Production management related: Scientific management, related: just in time, rationalization, Kaizen group work
- 22. Linked data alignment is key Tools for (semi-)automatic linked data alignment: •PoolParty Thesaurus Server - http://poolparty.biz/products/poolparty-thesaurus- manager/ •SILK - http://lod2.eu/Project/Silk.html •LIMES - http://lod2.eu/Project/LIMES.html
- 23. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 23
- 24. Advanced Thesaurus Alignment PoolParty Thesaurus Server (PPT) supports multiple thesaurus management and automatic alignments between several thesauri. PPT provides APIs and tools to publish enterprise vocabularies in your enterprise service stack/cloud and to integrate them with other enterprise services like search. © Semantic Web Company – http://www.semantic-web.at/ 24
- 25. PoolParty ‚PowerTagging‘ and ‚Push-API‘ Concept-tagging is done on top Enterprise vocabulary of concepts which are already part of the enterprise vocabulary, thus contextualised ‚Term-tags‘ become a ‚concept‘ and linked to other concepts. as part of the enterprise vocabulary Term-tagging means that tags are extracted from text (automatically via text mining) which are not part of the Concept Tagging controlled vocabulary yet. --- ------ Term Tagging Term-tags can be inserted into --- --- ---- the enterprise vocabulary. This extends and refines the ----- ---- vocabulary more and more. --- ---- --- - --- --- ---- ----- ------ Content from CMS © Semantic Web Company – http://www.semantic-web.at/ 25
- 26. Remember: Concept-tagging is a pre-condition for semantic search pipe search Semantic: prefLabel Can the search pipe pipe phrase altLa b el be found narrower tube tube Traditional: analogously? Can the search phrase be found literally prefLabel ERW ERW in the document? --- -- ----- -- --- -- -- --- ------ ---- --- ------ --- ------ --- ------ --- ---- ------ --- --- --- ----ERW ----ERW --- ---- ----- ---- ----- ---- ---- ---- ---- --- ---- --- © Semantic Web Company – http://www.semantic-web.at/ 26
- 27. PowerTagging for Sharepoint © Semantic Web Company – http://www.semantic-web.at/ 27
- 28. Sharepoint Termstore (MMS) / PoolParty Integration © Semantic Web Company – http://www.semantic-web.at/ 28
- 29. PowerTagging for Confluence • Automatic free- and concept-tagging: based on text mining and enterprise vocabularies • Better search experience: Semantic Indexing • Content recommendation: Display similar content from Confluence or Wikipedia https://marketplace.atlassian.com/ © Semantic Web Company – http://www.semantic-web.at/ 29
- 30. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 30
- 31. Concept based search with Mindbreeze © Semantic Web Company – http://www.semantic-web.at/ 31
- 32. PoolParty/Mindbreeze Integration ex h te ric en nd en ri c h extend © Semantic Web Company – http://www.semantic-web.at/ 32
- 33. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 33
- 34. PoolParty/UltraWrap WTO Standard Thesaurus NYT Economics © Semantic Web Company – http://www.semantic-web.at/ 34
- 35. Demo: agile data integration Virtuoso endpoint of NYT Corpus: http://lod2-stack.semantic-web.at/sparql Capsenta Ultrawrap endpoint: PPT endpoint: http://ultrawrap.semantic http://tata.csres.utexas.edu:8090/sparql web.at/PoolParty/sparql/STW © Semantic Web Company – http://www.semantic-web.at/ 35
- 36. Demo application © Semantic Web Company – http://www.semantic-web.at/ 36
- 37. Complex queries „Show all NYT news in which countries or regions are mentioned which belong to the top-5 exportes of financial services in 2006.“ NYT News WTO UK $ 51bn LUX $ 32bn CH $ 15bn While BMW profit GER $ 8bn rose overall, IRE $ 7bn earnings from cars ESP $ 4bn alone fell because of lower prices in BEL $ 3bn Spain, Germany and the US. © Semantic Web Company – http://www.semantic-web.at/ 37
- 38. Further possible example queries • How much SERVICE INDUSTRIES did MID EUROPE countries export in 2010? • Get all countries that are located in the region of MID EUROPE from the STW thesaurus • Get New York Times articles from top 10 exporters of financial services in a given year • Sum of exports of some country in 2000 • Get a List of Countries and Regions with their label and the amount of exports in a given year • Gets articles for countries that are located in midEurope. • GET services from STW that have exactMatches to Capsenta Services • Get STW services and matching UW services and their countries with exports in a given year © Semantic Web Company – http://www.semantic-web.at/ 38
- 39. Agenda 1 Introduction to enterprise semantics 2 Technologies behind enterprise semantics 3 Linked enterprise vocabularies 4 Latest developments of PoolParty platform 5 Concept based semantic enterprise search 6 Enterprise linked data integration 7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 39
- 40. Explicit semantic layer Data Data Research Production Enterprise semantics: • Stored and processed separately from data and metadata • Enterprise semantics is part of the enterprise information management strategy Data Data Marketing/Sales HR
- 41. „Many thanks for your interest! Do you have questions or any comments?“ Mag. Andreas Blumauer Managing Partner a.blumauer@semantic-web.at Semantic Web Company GmbH http://www.semantic-web.at/ Mariahilfer Strasse 70/8 http://poolparty.biz 1070 Vienna Austria http://twitter.com/semwebcompany © Semantic Web Company – http://www.semantic-web.at/ 41