EDBT '94 Proceedings of the 4th international conference on extending database technology: Advances in database technology
Fine-grained sharing in a page server OODBMS
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Performance engineering of the World Wide Web: application to dimensioning and cache design
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
Domain modeling-based software engineering: a formal approach
Domain modeling-based software engineering: a formal approach
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Common expression analysis in database applications
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
An Adaptive Mechanism for Web Browser Cache Management
IEEE Internet Computing
Context-Based Prefetch for Implementing Objects on Relations
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
DBMSs on a Modern Processor: Where Does Time Go?
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Maintaining Strong Cache Consistency in the World-Wide Web
ICDCS '97 Proceedings of the 17th International Conference on Distributed Computing Systems (ICDCS '97)
Using Speculation to Reduce Server Load and Service Time on the WWW
Using Speculation to Reduce Server Load and Service Time on the WWW
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When querying on a large-scale knowledge base, a major technique of improving performance is to preload knowledge to minimize the number of roundtrips to the knowledge base. In this paper, an ontology-based semantic cache is proposed for an agent and ontology-oriented knowledge base (AOKB). In AOKB, an ontology is the collection of relationships between a group of knowledge units (agents and/or other sub-ontologies). When loading some agent A, its relationships with other knowledge units are examined, and those who have a tight semantic tie with A will be preloaded at the same time, including agents and sub-ontologies in the same ontology where A is. The preloaded agents and ontologies are saved at a semantic cache located in the memory. Test results show that up to 50% reduction in running time is achieved.