A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data (updated version)
Antoine Zimmermann, Nuno Lopes, Axel Polleres, Umberto Straccia · HAL (Le Centre pour la Communication Scientifique Directe) · 2011
We describe a generic framework for representing and reasoning with annotated Semantic Web data, a task becomingmore important with the recent increased amount of inconsistent and non-reliable meta-data on the web. We formalisethe annotated language, the corresponding deductive system and address the query answering problem. Previouscontributions on specific RDF annotation domains are encompassed by our unified reasoning formalism as we showby instantiating it on (i) temporal, (ii) fuzzy, and (iii) provenance annotations. Moreover, we provide a generic methodfor combining multiple annotation domains allowing to represent, e.g., temporally-annotated fuzzy RDF. Furthermore,we address the development of a query language – AnQL – that is inspired by SPARQL, including several featuresof SPARQL 1.1 (subqueries, aggregates, assignment, solution modifiers) along with the formal definitions of theirsemantics.