Enhancing a DLP System for Advanced Database Applications
RR '08 Proceedings of the 2nd International Conference on Web Reasoning and Rule Systems
A Rule System for Querying Persistent RDFS Data
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Using ASP for knowledge management with user authorization
Data & Knowledge Engineering
MWeb: A principled framework for modular web rule bases and its semantics
ACM Transactions on Computational Logic (TOCL)
Practical RDF schema reasoning with annotated semantic web data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
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Ontologies are pervading many areas of knowledge representation and management. To date, most research efforts have been spent on the development of sufficiently expressive languages for the representation and querying of ontologies; however, querying efficiency has received attention only recently, especially for ontologies referring to large amounts of data. In fact, it is still uncertain how reasoning tasks will scale when applied on massive amounts of data. This work is a first step toward this setting: it first shows that Resource Description Framework(Schema) [RDF(S)] ontologies can be expressed, without loss of semantics, into Answer Set Programming (ASP). Then, based on a previous result showing that the SPARQL query language (a candidate W3C recommendation for RDF(S) ontologies) can be mapped to a rule-based language, it shows that efficient querying of big ontologies can be accomplished with a database oriented extension of the well known ASP system DLV, which we recently developed. Results reported in the article show that our proposed framework is promising for the improvement of both scalability and expressiveness of available RDF(S) storage and query systems.