Abstract:
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.
