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Das SemantischeDaten Web für UnternehmenVision, Technologie, Anwendungen Sören Auer Forschungsgruppe AKSW
Warum Semantic Web? Problem: Try to search for these things on the current Web: Apartments near German-Russian bilingual childcare in Leipzig. ERP service providers with offices in Vienna and London. Researchers working on multimedia topics in Eastern Europe. Informationis available on the Web, but opaque to current Web search. Solution: complement text on Web pages with structured linked open data & intelligently combine/integrate such structured information from different sources: Search engine HTML HTML RDF RDF Web server Web server Web server Web server leipzig.de Has everything about childcare in Potsdam. Immobilienscout.de Knows all about real estate offers in Germany DB DB
Vom Web derDokumentezumSemantic Data Web Semantic Web(Vision 1998, starting ???) ,[object Object]
Logic, Rules
TrustData Web (since 2006) ,[object Object]
Web Data integration
RDF serializationsSocial Web (since 2003) ,[object Object]
Reputation, sharing
Groups, relationshipsWeb (since 1992) ,[object Object]
HTML/CSS/JavaScript,[object Object]
Die Vision: ein Web VernetzterDaten interlink 2009 2007 SILK DXX Engine fuse create    2008 poolparty SemMF OntoWiki 2008 Sigma WiQA 2008 2008 ORE repair classify Virtouso 2009 DL-Learner MonetDB Sindice enrich
Semantic Web - Standards Standardization Semantic Web 1994 ,[object Object],Semantic Web Architecture ,[object Object],1998 ,[object Object],2000 Current research ,[object Object],2002 ,[object Object],2004 ,[object Object]
Ongoing work on rule languages(SWRL, DL-safe rules, RIF)
Extension of OWL to OWL 1.1 / 2.0
Ontology language of OMG based on UML (ODM)2006 Now standardized ,[object Object],2008 ,[object Object],2009 6
Data Zugriff und Integration auf semantischerEbene Enterprise Information Integration sets of heterogeneous data sources appear as a single, homogeneous data source Research Mediators Ontology-based P2P Web service-based Data Web ,[object Object]
HTTP as data access protocol
Local-As-View (LAV)Data Warehousing ,[object Object]
Global-As-View (GAV)Data Integration Object-relational mappings (ORM) ,[object Object]
ADO.NET Entity Framework
HibernateQuery Languages ,[object Object]
SPARQL
XPATH/XQueryLinked Data ,[object Object]
RDF serialization formatsProcedural  APIs ,[object Object]
JDBCData Access Triple/Quad Stores ,[object Object]

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Das Semantische Daten Web für Unternehmen

  • 1. Das SemantischeDaten Web für UnternehmenVision, Technologie, Anwendungen Sören Auer Forschungsgruppe AKSW
  • 2. Warum Semantic Web? Problem: Try to search for these things on the current Web: Apartments near German-Russian bilingual childcare in Leipzig. ERP service providers with offices in Vienna and London. Researchers working on multimedia topics in Eastern Europe. Informationis available on the Web, but opaque to current Web search. Solution: complement text on Web pages with structured linked open data & intelligently combine/integrate such structured information from different sources: Search engine HTML HTML RDF RDF Web server Web server Web server Web server leipzig.de Has everything about childcare in Potsdam. Immobilienscout.de Knows all about real estate offers in Germany DB DB
  • 3.
  • 5.
  • 7.
  • 9.
  • 10.
  • 11. Die Vision: ein Web VernetzterDaten interlink 2009 2007 SILK DXX Engine fuse create 2008 poolparty SemMF OntoWiki 2008 Sigma WiQA 2008 2008 ORE repair classify Virtouso 2009 DL-Learner MonetDB Sindice enrich
  • 12.
  • 13. Ongoing work on rule languages(SWRL, DL-safe rules, RIF)
  • 14. Extension of OWL to OWL 1.1 / 2.0
  • 15.
  • 16.
  • 17. HTTP as data access protocol
  • 18.
  • 19.
  • 21.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29. RDF Vokabulare:Klassen & Eigenschaften Hierarchien Beer rdf:typerdfs:Class BottomFermentedBeerrdfs:subClassOf Beer Bock rdfs:subClassOfBottomFermentedBeer Lager rdfs:subClassOfBottomFermentedBeer Pilsner rdfs:subClassOfBottomFermentedBeer hasContentrdf:typerdfs:Property hasAlcoholicContentrdfs:subPropertyOfhasContent hasOriginalWortContentrdfs:subPropertyOfhasContent 9
  • 30. RDF-S Instanzen Instanzen sind einer oder mehreren Klassen zugeordnet: Boddingtons rdf:type Ale Grafentrunkrdf:type Bock Hoegaardenrdf:type White Jeverrdf:type Pilsner 10
  • 31. Vokabulare: Friend-of-a-Friend (FOAF) definesclassesandpropertiesforrepresentinginformationaboutpeopleandtheirrelationships Soeren rdf:typefoaf:Person Soeren currentProject http://OntoWiki.net Soeren foaf:homepage http://aksw.org/Soeren Soeren foaf:knows http://sembase.at/Tassilo Soeren foaf:sha1 09ac456515dee 11
  • 32. Integration von RDF und HTML: RDFa 12 <div typeof="foaf:Person" xmlns:foaf="http://xmlns.com/foaf/0.1/"> <p property="foaf:name"> Alice Birpemswick </p> <p> Email: <a rel="foaf:mbox"href="mailto:alice@exa.com">alice@exa.com</a> </p> <p> Phone: <a rel="foaf:phone"href="tel:+1-617-555-7332">+1 617.555.7332</a> </p> </div>
  • 33. Anwendungs- und EinsatzpotentialeimUnternehmen Integration heterogenerInformationsbeständemittelsOntologien und Hintergrundwissen (z.B. DBpedia) Semantische Wikis (z.B. OntoWiki) helfenstrukturierteWissensbasenzuerstellen und managen
  • 34. Transformation von Wikipedia in eineWissensbasis community effort to extract structured information from Wikipedia and to make this information available on the Web allows to ask sophisticated queries against Wikipedia (e.g. universities in brandenburg, mayors of elevated towns, soccer players), and to link other data sets on the Web to Wikipedia data Represents a community consensus Recently launched DBpedia Live transforms Wikipedia into a structred knowledge base S. Auer; C. Bizer, J. Lehmann, G. Kobilarov, R. Cyganiak, Z. Ives: DBpedia: A Nucleusfor a Web of Open Data. 6th International Semantic Web Conference ISWC 2007. S. Auer, J. Lehmann: Whathave Innsbruck and Leipzig in common? ExtractingSemanticsfrom Wiki Content. 4th European Semantic Web Conference, ESWC 2007.
  • 35. Structure in Wikipedia Title Abstract Infoboxes Geo-coordinates Categories Images Links other language versions other Wikipedia pages To the Web Redirects Disambiguations
  • 36. Infobox templates Wikitext-Syntax {{Infobox Korean settlement | title = Busan Metropolitan City | img = Busan.jpg | imgcaption = A view of the [[Geumjeong]] district in Busan | hangul = 부산 광역시 ... | area_km2 = 763.46 | pop = 3635389 | popyear = 2006 | mayor = Hur Nam-sik | divs = 15 wards (Gu), 1 county (Gun) | region = [[Yeongnam]] | dialect = [[Gyeongsang]] }} http://dbpedia.org/resource/Busan dbp:Busan dbpp:title ″Busan Metropolitan City″ dbp:Busan dbpp:hangul ″부산 광역시″@Hang dbp:Busan dbpp:area_km2 ″763.46“^xsd:float dbp:Busan dbpp:pop ″3635389“^xsd:int dbp:Busan dbpp:region dbp:Yeongnam dbp:Busan dbpp:dialect dbp:Gyeongsang ... RDF representation
  • 37. Einegroße multi-linguale, multi-domänenWissensbasis DBpediaExtraktionresultiertin: Beschreibungen von ca. 3.4 MillionenDingen(1.5 million classified in a consistent ontology, including 312,000 persons, 413,000 places, 94,000 music albums, 49,000 films, 15,000 video games, 140,000 organizations, 146,000 species, 4,600 diseases Labels und Zusammenfassungen in 92 verschiedenenSprachen; 1,460,000 links to images and 5,543,000 links to external web pages; 4,887,000 external links into other RDF datasets, 565,000 Wikipedia categories, and 75,000 YAGO categories Zusammenmehrals1 MilliardeFakten(d.h. RDF triple): 257M from English edition, 766M from other language editions DBpediahinterläßt sichtbareSpurenin Wissenschaft, Technologieand Gesellschaft DBpedia became the central interlinking hub on the Data Web Scientific publications attracted more than 500 citations More than 15.000 monthly visits on DBpedia.org,numerous press articles, blog posts … Ecosystem of commercial and community applications:ThomsonReuters, BBC, Neofonie, Openlink, Faviki…
  • 38. Das Semantische Daten Wiki Agiles, verteiltes Knowledge Engineering KeinWiki mitsemantischerErweiterung(Semantic MediaWiki, IkeWiki), sondern Ontology Editor der Wiki Konzeptenutzt: Make it easy tocorrect mistakes(ant intelligence) Activity can bewatched andreviewed Everything canbe undone AKSW Vorstellung
  • 40.
  • 41.
  • 42. SoftWiki Problem: Requirements Engineering mitgroßen, geografischverteilten Stakeholder-Gruppen Lösung:umfassendeOntologie für RE Wissen+ adaptierteOntoWikiAnwendung Anwendung von Textmining Algorithmen für DuplicateDetection
  • 44. Take Home Messages Semantic Web Unterstützt die Integration von Datenim Web (einheitliches Triple-Datenmodel) Standardisierte (W3C) Linked Data Technologiebasis Ontologien und Hintergrundwissen (z.B. DBpedia) hilftbeider Integration heterogenerInformationsbestände Semantische Wikis helfen RDF Wissensbasenzuerstellen und managen
  • 45. Vielen Dank! Sören Auer auer@informatik.uni-leipzig.de Agile Knowledge Engineering & Semantic Web (AKSW)http://aksw.org BerufsbegleitenderMasterstudiengang“Content- & Media Engineering” M1: Medienproduktion (GMP) M2: Web-Technologien (WT) M3: Content- und Wissensmanagement-Systeme (CWM) M4: Crossmediale Produktion (CP) M5: Medienwirtschaft und Medienmanagement (MW) M6: Projektarbeit (PA) M7: E-Business (EB) http://www.leipzigschoolofmedia.de/ Mediencampus “Villa Ida”

Hinweis der Redaktion

  1. Popular content types such as pictures, movies, calendars, encyclopedic articles, news recipes etc. are already sufficiently well supported on the Web.However, there is a long tail of special-interest content (profiles of expertise, historic data and events, bio-medical knowledge, intra-corporational knowledge etc.) which has very low or no current support (for filtering, aggregation, searching, querying, collaborative editing) on the Web.