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A Semantics-Supported Publish/Subscribe System

Min Zhang

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Abstract

For the low matching accuracy caused by heterogeneous information in content-based publish/subscribe systems,by defining the relationship among the attributes of events and subscription,a design method of semantics-supported publish/subscribe is proposed using the semantic conversion module.And it is applied to the publish/subscribe system of SINEA.The experimental results show that the method supports different semantics to a certain extent,and improves the accuracy of matching.

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What this paper is about

For the low matching accuracy caused by heterogeneous information in content-based publish/subscribe systems,by defining the relationship among the attributes of events and subscription,a design method of semantics-supported publish/subscribe is proposed using the semantic conversion module.And it is applied to the publish/subscribe system of SINEA.The experimental results show that the method supports different semantics to a certain extent,and improves the accuracy of matching.

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Available abstract

For the low matching accuracy caused by heterogeneous information in content-based publish/subscribe systems,by defining the relationship among the attributes of events and subscription,a design method of semantics-supported publish/subscribe is proposed using the semantic conversion module.And it is applied to the publish/subscribe system of SINEA.The experimental results show that the method supports different semantics to a certain extent,and improves the accuracy of matching.

Key concepts: Computer science, Publication, Semantics (computer science), Matching (statistics), Information retrieval, Semantic matching, Programming language, Business

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