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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7710\nWe will introduce three national lab use cases that require efficient reasoning on large and diverse data streams.  Attendees will see examples of challenges including sampling rates and cache maintenance, deductive reasoning with partial information. We will introduce a semantic web framework that addresses challenges around (a) choosing assertions worthy of preserving within a fixed-size cache and (b) performing deductive reasoning continuously using a "smart cache" in order to effectively draw relevant conclusions as quickly as possible. The use of a smart cache differentiates our work from state-of-the-art works in deductive stream reasoning in that the cache enables us to temporarily store propositions that are no longer in the stream window. \nWe will present a detailed first hand case study of our prototypes that use 3 different semantic web reasoners and describe the benefits in concrete application terms, thereby providing testimonials for the approach. \nA framework that creates an in-memory cache and uses the Pellet reasoner to perform OWL-DL, SPARQL queries and works in the domain of mass spectroscopy\nA framework that creates the cache within a StarDog triple store, and demonstrates the challenges when querying over a network during stream ingestion\n A framework that uses AllegroGraph as a cache, and highlights RDFS++ reasoning on the data stream along with its benefits and challenges
DTSTART:20150819T114500
SUMMARY:The PNNL Streaming HYpothesis REasoning (SHYRE) Use Case
DTEND:20150819T122959
LOCATION: See Description
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