ISWC research track - raw notes 1

Detecting high-level changes in RDF/S Want to detect significant changes. Low-level language: report adds and removes of triples. Hight Level languages define classes of event: change_superclass, pull_up_class, etc. High level...

· 188 words

ISWC In Use Track - raw notes 4

Rapid: enabling scalable ad-hoc analytics on the semantic web - Sridhar et al Motivation: rapid growth in RDF data. Progress on storage, but not analytics. analytical queries include multiple groupings...

· 237 words

ISWC In Use Track - raw notes 3

Tudor Groza et al - Bridging the gap between linked open data and the semantic desktop. web - problem finding and linking relevant work. desktop - publication silo, problem finding...

· 94 words

ISWC In Use Track - raw notes 2

Kalyanpur et al - extracting enterprise vocabularies IBM and Gartner. Enterprises need semantic vocabularies. Can they be generated bottom-up from source documents? Tried using NLP tools and off-the-shelf named entity...

· 184 words

ISWC In Use Track - raw notes 1

Auer & Lehmann - Spatially Linked Geodata Many real-world tasks use spatial data. Current LOD datasets only have large-scale geographic structures, not bakeries, recycling bins, etc. How to get geo...

· 297 words