New paper “A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data”
Wednesday, March 16th, 2011The authors describe a generic framework for representing and reasoning with annotated Semantic Web data, a task becoming more important with the recent increased amount of inconsistent and non-reliable meta-data on the web. They formalise the annotated language, the corresponding deductive system and address the query answering problem. Previous contributions on specific RDF annotation domains are encompassed by their unified reasoning formalism as they show by instantiating it on (i) temporal, (ii) fuzzy, and (iii) provenance annotations. Moreover, they provide a generic method for combining multiple annotation domains allowing to represent, e.g., temporally-annotated fuzzy RDF. Furthermore, they address the development of a query language – AnQL – that is inspired by SPARQL, including several features of SPARQL 1.1 (subqueries, aggregates, assignment, solution modifiers) along with the formal definitions of their semantics.
The paper is available at http://arxiv.org/PS_cache/arxiv/pdf/1103/1103.1255v1.pdf

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