A Semantic-based Adaptive Recommendation Mechanism for Location Service

With the development of semantic Web technology, the computer has already understood the content of the Web service partly, which makes the computer better meet the needs of users via aggregating a few small Web services to one Web service which is in a larger granularity. We need to generate some specific aggregation rules which can be defined by the ontology tree in order to achieve service aggregation. In this paper, the authors took the holding of some activities as an example, generated the corresponding rules of service aggregation and transformed it into ontology tree. Afterwards, the authors set up a corresponding experiment system based on the ontology tree, and tested the success rate of the service recommendation by using the rules of service aggregation.