Abstract
We present a lightweight framework for processing uncertain emergent knowledge that conies 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.
| Original language | English (Ireland) |
|---|---|
| Title of host publication | SEMANTIC WEB - ISWC 2009, PROCEEDINGS |
| Publisher | SPRINGER-VERLAG BERLIN |
| Number of pages | 16 |
| Volume | 5823 |
| ISBN (Electronic) | 0302-9743 |
| ISBN (Print) | 0302-9743 |
| Publication status | Published - 1 Jan 2009 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Novacek, V;Decker, S