Ontology-Based Semantic Cache in AOKB

Hong Zheng, Ruqian Lu, Zhi Jin, Sikang Hu

Abstract: 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.