Towards Lightweight and Robust Large Scale Emergent Knowledge Processing

Presented at: 8th International Semantic Web Conference (ISWC2009)

by Vit Novacek, Stefan Decker

Webpage: http://data.semanticweb.org/pdfs/iswc/2009/paper361.pdf
Webpage: http://dx.doi.org/10.1007/978-3-642-04930-9_29
Webpage: http://www.springerlink.com/content/p0g56mq564r13273

We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatible, but allows also for direct representation of contextual features (e.g., provenance). We support soft integration and robust querying of the represented content based on well-founded notions of aggregation, similarity and ranking. A proof-of-concept implementation is presented and evaluated within large scale knowledge-based search in life science articles.

Towards Lightweight and Robust Large Scale Emergent Knowledge Processing was presented at this event.

Keywords: Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2009/paper/research/361


Explore this resource elsewhere: