Research On Application Of Ontology Mapping In Semantic Web Services

The Semantic Web envisioned by Tim Berners-Lee is not a separate Web but an extension of the current one, in which information is given well-defined meaning, better enabling computers and people to work in cooperation. As an expression of domain knowledge, ontology provides explicit definition of semantics, so that the real meaning of information described by ontologies could be 'understanded' by computers, that is just the objective of the Semantic Web.Semantic Web Services applies the technology of Semantic Web to the domain of Web Services, that is the semantic description provided by ontologies enable the automated discovery, composition, and invocation of Web services. Heterogeneity is an inherent characteristic of open and distributed environments. Within Semantic Web Services, ontology is used for data model to specify the terminology needed by Web Services, but the distributed entities may use different ontologies to conceptualize the same domain. Ontology heterogeneity, which is a critical problem to solve, hampers the interoperation between different Web Services.Creating mapping between ontologies which semantically overlap with each other could resolve ontology heterogeneity. This thesis proposes a framework for instance transformation based on mapping and presents relative algorithms, also designs and implements a prototype system (Mapping based Automatic Instance Transformation, MAIT). This work aims at providing an application of ontology mapping to reconcile heterogeneity between ontologies within Semantic Web Services. The experimental results reveal that the framework and algorithm are feasible and effective.