Presentation: The Semantic Data Web by Sören Auer of University of Leipzig at the Semantics & Media Conference in Mainz in July 2011

1. The Semantic Data WebSören Auer

3. ERP service providers with offices in Vienna and London.

4. Researchers working on multimedia topics in Eastern Europe.Informationis available on the Web, but opaque to current search. Why Semantic Data Web? 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 berlin.de Has everything about childcare in Berlin. Immobilienscout.de Knows all about real estate offers in Germany DB DB

6. Logic, Rules

8. Web Data integration

10. Reputation, sharing

13. The Long Tail of Information Domains Pictures The Long Tail by Chris Anderson (Wired, Oct. ´04) adopted to information domains Recipes News Video Calendar Popularity SemWeb supported structured content Requirements-Engineering Talentmanagement Special interest communities Itinerary ofKing George Gene sequences … … … … Currently supportedstructuredcontent types Not or insufficiently supported content types

14. 1. Uses RDF Data Model Linked Data Web Technology 14.7.2011 takesPlaceAt organizes Uni Mainz Semedia2011 Mainz takesPlaceIn 2. Is serialised in triples: UniMainzorganizes SeMedia2011 SeMedia2011 takesPlaceAt “20110714”^^xsd:date SeMedia2011 takesPlaceAtMainz 3. Uses Content-negotiation

15. The emerging Web of Data 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

18. Linked DataLifecycle

19. Extraction

22. link other data sets on the Web to Wikipedia data

23. Represents a community consensusRecently launched DBpedia Live transforms Wikipedia into a structred knowledge base Transforming Wikipedia into an Knowledge Base

24. Structure in Wikipedia Title Abstract Infoboxes Geo-coordinates Categories Images Links other language versions other Wikipedia pages To the Web Redirects Disambiguations 14.07.2011 Sören Auer - The emerging Web of Linked Data 13

25. 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 14.07.2011 Sören Auer - The emerging Web of Linked Data 14

26. A vast multi-lingual, multi-domain knowledge base DBpedia extraction results in: descriptions of ca. 3.4 million things (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 and abstracts for these 3.2 million things in up to 92 different languages; 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 altogether over 1 billion pieces of information (i.e. RDF triples): 257M from English edition, 766M from other language editions DBpedia made a substantial impact in science, technology and society 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 … Motivates further research need wrt. scalability, quality 14.07.2011 Sören Auer - The emerging Web of Linked Data 15

30. ProvenanceExtraction Challenges

31. Storage and Querying

33. Big OWLIM (commercial), Swift OWLIM (os)

34. 4store (os)

35. Talis (hosted)

36. Bigdata (distributed)

37. Allegrograph (commercial)

38. Mulgara (os)RDF Data Management

40. SPARQL Query extensions

41. Spatial/semantic/temporal data management

42. More advanced query result caching

43. View maintenance / adaptive reorganization based on common access patterns

44. More realistic benchmarksStorage and Querying Challenges

45. Authoring

47. Versatile domain-independent tool Serves as Linked Data / SPARQL endpoint on the Data Web Open-source project hosted at Google code Not just a Wiki UI, but a whole framework for the development of Semantic Web applications Developed in PHP based on the Zend framework Very active developer and user community More than 500 downloads monthly Large number of use cases Management of multimedia content for a record label in the UK OntoWiki – a semantic data wiki

48. Dynamische Sichten auf die Wissensbasis OntoWiki 14.07.2011 Sören Auer - The emerging Web of Linked Data 24

49. OntoWiki RDF-Triple auf Resourcen-Detailseite 14.07.2011 Sören Auer - The emerging Web of Linked Data 25

50. OntoWiki Dynamische Vorschläge aus dem Daten Web 14.07.2011 Sören Auer - The emerging Web of Linked Data 26

51. RDFauthor in OntoWiki

52. 14.07.2011 Sören Auer - The emerging Web of Linked Data 28 OntoWiki: Caucasian Spiders

53. OntoWiki: Supporting Requirements engineering

54. Semantic Portal with OntoWiki: Vakantieland

55. Linking © CC-BY-NC-ND by ~Dezz~ (residae on flickr)

58. Semantic PingbackLOD Linking

59. update and notification services for LOD Downward compatible with Pingback (blogosphere) http://aksw.org/Projects/SemanticPingBack Creating a network effect aroundLinking Data: Semantic Pingback

60. Visualizing Pingbacks in OntoWiki

62. Consider the open world nature of Linked Data

63. Use LOD background knowledge

64. Zero-configuration linking

65. Explore active learning approaches, which integrate users in a feedback loop

66. Maintain a 24/7 linking service: Linked Open Data Around-The-Clock project (LATC-project.eu)Interlinking Challenges

67. Enrichment

69. Ontology Enrichment: uses the DL-Learner framework to suggest definitions & super classes for existing classes in the KB. works if instance data is available for harmonising schema and data.http://aksw.org/Projects/ORE Enrichment & Repair

70. Quality Analysis

72. Evolution © CC-BY-SA by alasis on flickr)

74. modularized, declarative definition of evolution patterns is relatively simple compared to an imperative description of evolution

75. allows domain experts and knowledge engineers to amend the ontology structure and modify data with just a few clicks

76. Combined with RDF representation of evolution patterns and their exposure on the Linked Data Web, EvoPat facilitates the development of an evolution pattern ecosystem

77. patterns can be shared and reused on the Data Web.

78. declarative definition of bad smells and corresponding evolution patterns promotes the (semi-)automatic improvement of information quality.EvoPat – Pattern based KB Evolution

79. Evolution Patterns

80. 14.07.2011 Sören Auer - The emerging Web of Linked Data 43

81. Exploration

82. CatalogusProfessorumLipsiensis

83. Visual Query Builder

84. Relationship Finder in CPL

85. PublicData.eu

86. http://fintrans.publicdata.eu

87. http://energy.publicdata.eu

88. http://scoreboard.lod2.eu

89. Anwendung BBC Music 39 meist besuchte Webseite Integriert verschiedenste Linked Data Quellen (DBpedia, Musicbrainz, Geonames)

90. LODLifecycle supported byDebian based LOD2 Stack (to be released in September)

92. The LOD ecosystemcomprisesextraction, authoring, enrichment, exploration & search

93. More workhastobedoneto bring variousbitsandpiecestogether

94. Debian based LOD2 Stackfaciliatesmanagingthe LOD lifecycle

95. CKAN.net will evolveinto a registrytordatasets, visualizations, apps, wrappers, mashups, ..

96. Linked Data is a perfecttechnologyforMedia applicationsTake homemessages

97. Thanksforyourattention! Sören Auer http://www.informatik.uni-leipzig.de/~auer/ | http://aksw.org | http://lod2.org auer@uni-leipzig.de

98. AKSW Data Web Building Blocks Vakantieland Building Data Web applications OntoWiki Collaborative creation of explicit knowledge via Semantic Wikis RDB2RDF Mapping relational data to RDF SoftWiki Distributed, stakeholder driven Requirements Engineering DL-Learner Machine Learning for Ontologies DBpedia “Semantification” ofWikipedia OpenResearch.org A semantic Wiki for the sciences ORE Ontology Enrichment & Repair LinkedGeoData “Semantification” of OpenStreetMaps xOperator Combining Instant Messaging with the Data Web LIMES Link Discovery Framework formetricspaces) Triplify “Semantification” of (small) Web Applications CatalogusProfessorum Prosopographical knowledge base RDF Query Subsumption& View Maintenance Scaling triple stores LESS Semantification Syndication … Foundations Marrying databases with RDFand ontologies Applications Bringing the Data Web to end users Tools 14.07.2011 Sören Auer - The emerging Web of Linked Data 56

100. Enrichment &Interlinking

101. Fusion & InformationQuality

103. Enterprise Data Webs

104. Open Gov DataPartners Uni Leipzig, DERI Galway, FU Berlin, Semantic Web Company, OpenLink, Tenforce, Exalead, WoltersKluwer, OKFN

106. Outreach & involve original data providers - local, regional, national and EuropeanClose cooperation with W3C eGov IG, OKFN’s OpenEUdata, PSI & grassroots efforts CKAN.org | OKFN’s EuOpenData group |ICT2010 Networking Session UIs and Personalization individual mashups of data with other sources Notification/subscription service based on personal prefs Transparency wishlists, upload revisions, derivates create and publish queries, reports and visualizations 58

107. Linked Enterprise Intra Data Webs can fill the gap between Intra-/Extranets and EIS/ERP Facilitates data integration along value-chains within and across enterprises The pragmatic, incremental, vocabulary based Linked Data approach reduces data integration costs significantly The wealth of knowledge available as Linked Open Data can be leveraged as background knowledge for Enterprise applications Linked Enterprise Data