Ontology-Based Semantic Cache in AOKB

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 proloaded 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.

Ontology-based semantic cache in AOKB

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 agentA, its relationships with other knowledge units are examined, and those who have a tight semantic tie withA will be preloaded at the same time, including agents and ub-ontologies in the same ontology whereA 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. Supported by the CAS Project of Brain and Mind Science, a grant from the Ministry of Science and Technology (Grant No.2001CCA03000), the National Natural Science Foundation Key Project of China (Grand No.69733020), Innovation Foundation of AMSS, IOM and ICT, and MADIS Lab. ZHENG Hong, female, was born in taiyuan, China in 1972. She received the B.S. degree in computer science from the Gui Zhou University in 2000. Currently she is a Ph.D. candidate in the Institute of Mathematics, AMSS, CAS. Her doctoral research is focused on artificial intelligence and quantum computing. LU Ruqian, male, was born in Shanghai, China, in 1935. He received the degree of Diplom Mathematiker from the Friedlich Schiller University of Jena in 1959. He joined the Institute of Mathematics in 1959 and is now a professor of this institute. He is also a professor of Fudan University and a guest professor of Institute of Computing Technology. He is an academician of the Chinese Academy of Sciences. His research interests include artificial intelligence, knowledge engineering and knowledge science, and theoretical computer science. JIN Zhi is a professor of computer science at the Academy of Mathematics and System Sciences. She received her Ph.D. degree in computer science from National University of Defense Technology in 1992. Her research interests include knowledge-based systems, ontology development, artificial intelligence, and requirements engineering. She has authored and co-authored one book and over 50 papers. HU Sikang, male, was born in Guiyang, China in 1975. He received the B.S. degree in computer science from the Gui Zhou University in 2000. Currently he is a teacher in the Beijing Institute of Technology. His research interests are artificial intelligence and software engineering.