Semantic Resolution for E-Commerce

摘要

We describe a research project on resolving semantic differences for multi-agent systems (MAS) in electronic commerce. The approach can be characterized as follows: (1) agents in a MAS may have their own specific ontologies defined on top of a shared base ontology$ (2) concepts in these ontologies are represented as frame-like structures based on DAML+OIL language$ (3) the semantic differences between agents are resolved at runtime through inter-agent communication$ and (4) the resolution is viewed as an abductive inference process, and thus necessarily involves approximation reasoning.