Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
DAMLJessKB: A Tool for Reasoning with the Semantic Web
IEEE Intelligent Systems
RStar: an RDF storage and query system for enterprise resource management
Proceedings of the thirteenth ACM international conference on Information and knowledge management
OWLIM – a pragmatic semantic repository for OWL
WISE'05 Proceedings of the 2005 international conference on Web Information Systems Engineering
Explorations in the use of semantic web technologies for product information management
Proceedings of the 16th international conference on World Wide Web
Effective and efficient semantic web data management over DB2
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
An Improved Storage and Inference Method for Ontology Based Remote Sensing Interpretation System
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Evaluation of RDF queries via equivalence
Frontiers of Computer Science: Selected Publications from Chinese Universities
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HStar is implemented to support large scale OWL documents management Physical storage model is designed on file system based on semantic model of OWL data Inference and query are implemented on such physical storage model Now HStar supports characters of OWL Lite and we try to adopt strategy of partial materializing inference data, which is different from most of existing semantic repository systems In this paper we first give the data model which HStar supports, then give an analysis of our inference strategy; storage model and query process are discussed in detail; experiments for comparing HStar and related systems are given at last.