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Use Cases of Applied Ontology in Semantic Web and Big Data     (1)

Please capture Use Cases of Applied Ontology in Semantic Web and Big Data on this page.     (1A)

This has been inspired by the many projects and work that got presented during the course of Ontology Summit 2014: "Big Data and Semantic Web Meet Applied Ontology" and Ken Baclawski (one of the Summit co-champions) proposed that a page like this be created, and be linked to from the OntologySummit2014_Communique.     (1B)

This will, hopefully, serve as an ongoing registry of such references that the community can continue to build on.     (1C)

... please insert below (kindly provide links and identify the poster and principal(s) of each entry for reference and follow-up purposes.)     (1D)

  • Question by Christoph Lange: Are we aiming at collecting means or ends on this page, or both? My understanding of "use case" is that it is about ends, i.e. problems that ontologies help to solve. However in the list below I see a lot of things that rather look like means to me, e.g. "reuse" or "bridge axioms". In what I have so far contributed from Track B I focused on ends rather than means.     (1E)
    • Response by Ken Baclawski: Perhaps it would be good to subdivide the use cases according to their intent. The ones in Track D were supposed to be about how the ontology community can involve other communities that are concerned with Big Data (very generally defined). They were not supposed to be about actually solving the problems that ontologies help to solve. In other words, the problem being solved is to improve communication between communities, not solving the problems of the communities. However, some of the use cases did cross the line from the one problem to the other problem.     (1E1)

  • Building complex interactive web applications     (1F2)
    • MikeBergman presented the Open Semantic Framework (OSF) as an example, where knowledge represented in terms of a uniform RDF data model translates into widgets of web applications, in which ontologies inform interface displays, define component behaviors, guide visualization template selection and content filtering, and help to navigate and organize web portals (Track B synthesis)     (1F2A)
  • Represent complex knowledge with little ontological commitment     (1F3)
    • MikeBergman (Open Semantic Framework) and JoseMariaGarcia (Linked Services Initiative) pointed out that RDF is a useful knowledge representation model for them. It does not enforce a strong ontological commitment but still allows to link informal descriptions of things to more formal descriptions. (Track B synthesis)     (1F3A)

but rather than immediately specializing it to a particular domain, he built his framework with extension points to allow ease of reuse.     (1F9)

... initial input from Ontology Summit 2014 Track Champions     (1F18)

This page has been migrated from the OntologWiki - Click here for original page     (1F19)