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Enterprise semantics

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PoolParty Team gave a webinar on Wednesday, November 28, 2012. We talked about scenarios and applications using semantics in enterprises. Some of the use cases we discussed were: ...

PoolParty Team gave a webinar on Wednesday, November 28, 2012. We talked about scenarios and applications using semantics in enterprises. Some of the use cases we discussed were:

- Semi-automatic tagging of content (Sharepoint, Confluence, …)
- Semantic enterprise search (Mindbreeze, FAST, Exalead, …)
- Linked Enterprise Vocabularies
- Enterprise linked data integration (queries across Oracle databases and unstructured text)

We also showed the latest developments of PoolParty platform and we gave insights how structured data from relational databases can be mashed with unstructured text when using linked data alignment. We showcased how we mashed a large text corpus with statistical financial data on top of PoolParty and UltraWrap.

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Enterprise semantics Enterprise semantics Presentation Transcript

  • Enterprise SemanticsUse Cases & ApplicationsAndreas BlumauerSemantic Web Companywww.semantic-web.atwww.poolparty.biz
  • Presenters Welcome to the webinar! Andreas Blumauer Juan SequedaSemantic Web Company Capsenta (Vienna, AT) (Austin, TX) © Semantic Web Company – http://www.semantic-web.at/ 2
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 3
  • Enterprise semantics – use casesThe basic idea:What if we could make queries by using our own words over a large varietyof data sources in our enterprises as they were in one large knowledgebase? 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
  • The challengeInformation overload:The strange feeling of having a lot of data in many silos which actually would besufficient to give answers to important questions if they were only betteraccessible 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
  • Concept-based semantic search pipe search Semantic: prefLabel Can the search pipe pipe phrase altLa b el be found narrower tube tubeTraditional: analogously?Can the search phrasebe found literally prefLabel ERW ERWin the document? --- -- ----- -- --- -- -- --- ------ ---- --- ------ --- ------ --- ------ --- ---- ------ --- --- --- ----ERW ----ERW --- ---- ----- ---- ----- ---- ---- ---- ---- --- ---- --- © Semantic Web Company – http://www.semantic-web.at/ 6
  • Topic pages: 360O views on business objects Articles (twitter, videos etc.) can be retrieved Short from various content sourcesdescription http: http: Related concepts CMS CMSGeo search API API © Semantic Web Company – http://www.semantic-web.at/ 7
  • Example: Energy Country Profileshttp://reegle.info/countries
  • 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 ProfitAT +2%BE -3%CHN +8% While BMW profitGER +1% rose overall,FRA -5% earnings from carsUK +4% alone fell because of lower prices inUS +1% England, Germany and the US. © Semantic Web Company – http://www.semantic-web.at/ 9
  • The enterprise search and business intelligence marketYear in which the 2014 Semantics is explicitly available via linked knowledge graphs.underlying Content from various sources and deparments can be linked andtechnology will Linked Data mashed on top of an explicit meta data layer. Complex queriesbe/has been rolled based search which use data from many sources can be made by using theout. 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
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 11
  • 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 ofstandards which were especially developed for data management in agile, distributedand networked systems, e.g. the World Wide Web or also global enterprises or NPOs. © Semantic Web Company – http://www.semantic-web.at/ 12
  • The RDF/SKOS Enterprise Data BusRDF 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
  • 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
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 15
  • Business groups share common processes, topics. But how do they communicate? Research HRMarketing Production
  • Is it through a common vocabulary? Or common understanding? Innovation management Innovation management HRMarketing
  • Globalization + Localization = New demands on business vocabularies Luxury car Luxury car Marketing (U.S.)Marketing(Europe)
  • Querying third-party data in your own language ‘Lean manufacturing’ SearchResearch ‘Lean enterprise’ Production
  • Thesaurus Alignment: Use of common phrases with similar meanings Lean manufacuring Lean production ProductionResearch
  • 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/729prefLabel:Lean manufacturing prefLabel:Lean productionaltLabel: Lean production altLabel: Lean enterprisebroader: Lean concepts broader: Production managementrelated: Scientific management, related: just in time, rationalization, Kaizen group work
  • Linked data alignment is keyTools 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
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 23
  • Advanced Thesaurus AlignmentPoolParty Thesaurus Server (PPT) supports multiple thesaurus management andautomatic alignments between several thesauri. PPT provides APIs and tools to publishenterprise vocabularies in your enterprise service stack/cloud and to integrate them withother enterprise services like search. © Semantic Web Company – http://www.semantic-web.at/ 24
  • PoolParty ‚PowerTagging‘ and ‚Push-API‘Concept-tagging is done on top Enterprise vocabularyof concepts which are alreadypart of the enterprisevocabulary, thus contextualised ‚Term-tags‘ become a ‚concept‘and linked to other concepts. as part of the enterprise vocabularyTerm-tagging means that tagsare extracted from text(automatically via text mining)which are not part of the Concept Taggingcontrolled vocabulary yet. --- ------ Term TaggingTerm-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
  • 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 tubeTraditional: analogously?Can the search phrasebe found literally prefLabel ERW ERWin the document? --- -- ----- -- --- -- -- --- ------ ---- --- ------ --- ------ --- ------ --- ---- ------ --- --- --- ----ERW ----ERW --- ---- ----- ---- ----- ---- ---- ---- ---- --- ---- --- © Semantic Web Company – http://www.semantic-web.at/ 26
  • PowerTagging for Sharepoint© Semantic Web Company – http://www.semantic-web.at/ 27
  • Sharepoint Termstore (MMS) / PoolParty Integration© Semantic Web Company – http://www.semantic-web.at/ 28
  • 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
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 30
  • Concept based search with Mindbreeze© Semantic Web Company – http://www.semantic-web.at/ 31
  • PoolParty/Mindbreeze Integration ex h te ricen nd en ri c h extend © Semantic Web Company – http://www.semantic-web.at/ 32
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 33
  • PoolParty/UltraWrap WTOStandardThesaurus NYTEconomics © Semantic Web Company – http://www.semantic-web.at/ 34
  • Demo: agile data integration Virtuoso endpoint of NYT Corpus: http://lod2-stack.semantic-web.at/sparqlCapsenta Ultrawrap endpoint: PPT endpoint: http://ultrawrap.semantichttp://tata.csres.utexas.edu:8090/sparql web.at/PoolParty/sparql/STW © Semantic Web Company – http://www.semantic-web.at/ 35
  • Demo application© Semantic Web Company – http://www.semantic-web.at/ 36
  • 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 WTOUK $ 51bnLUX $ 32bnCH $ 15bn While BMW profitGER $ 8bn rose overall,IRE $ 7bn earnings from carsESP $ 4bn alone fell because of lower prices inBEL $ 3bn Spain, Germany and the US. © Semantic Web Company – http://www.semantic-web.at/ 37
  • 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
  • Agenda1 Introduction to enterprise semantics2 Technologies behind enterprise semantics3 Linked enterprise vocabularies4 Latest developments of PoolParty platform5 Concept based semantic enterprise search6 Enterprise linked data integration7 Conclusion © Semantic Web Company – http://www.semantic-web.at/ 39
  • Explicit semantic layer Data DataResearch 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
  • „Many thanks for your interest! Do you have questions or any comments?“Mag. Andreas BlumauerManaging Partnera.blumauer@semantic-web.atSemantic Web Company GmbH http://www.semantic-web.at/Mariahilfer Strasse 70/8 http://poolparty.biz1070 ViennaAustria http://twitter.com/semwebcompany © Semantic Web Company – http://www.semantic-web.at/ 41