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More from LOD2 Creating Knowledge out of Interlinked Data(20)


The Semantic Data Web, Sören Auer, University of Leipzig

  1. ERP service providers with offices in Vienna and London.
  2. Logic, Rules
  3. Web Data integration
  4. Reputation, sharing
  5. link other data sets on the Web to Wikipedia data
  6. Big OWLIM (commercial), Swift OWLIM (os)
  7. 4store (os)
  8. Talis (hosted)
  9. Bigdata (distributed)
  10. Allegrograph (commercial)
  11. SPARQL Query extensions
  12. Spatial/semantic/temporal data management
  13. More advanced query result caching
  14. View maintenance / adaptive reorganization based on common access patterns
  15. Consider the open world nature of Linked Data
  16. Use LOD background knowledge
  17. Zero-configuration linking
  18. Explore active learning approaches, which integrate users in a feedback loop
  19. modularized, declarative definition of evolution patterns is relatively simple compared to an imperative description of evolution
  20. allows domain experts and knowledge engineers to amend the ontology structure and modify data with just a few clicks
  21. Combined with RDF representation of evolution patterns and their exposure on the Linked Data Web, EvoPat facilitates the development of an evolution pattern ecosystem
  22. patterns can be shared and reused on the Data Web.
  23. The LOD ecosystemcomprisesextraction, authoring, enrichment, exploration & search
  24. More workhastobedoneto bring variousbitsandpiecestogether
  25. Debian based LOD2 Stackfaciliatesmanagingthe LOD lifecycle
  26. will evolveinto a registrytordatasets, visualizations, apps, wrappers, mashups, ..
  27. Enrichment &Interlinking
  28. Fusion & InformationQuality
  29. Enterprise Data Webs

Editor's Notes

  1. Initially, the Web consisted of many Websites containing only unstructured/textual content.The Web 2.0 extended this traditional Web with few extremely large Websites specializing on certain specific content types. Examples are:Wikipedia for encyclopedic for Web linksFlickr for picturesYouTube for VideosDigg for news…These websites provide specialized searching, querying, sharing, authoring specifically adopted to the content type of their concern.
  2. 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.