Fishery web service composition method based on ontology
Yu Qingmei, Shanghai Ocean University, Shanghai (China), School of Information Technology | Wang Lan, Shanghai Ocean University, Shanghai (China), School of Information Technology | Huang Dongmei, Shanghai Ocean University, Shanghai (China), School of Information Technology
Various fishery information systems have been developed in different times and on different platforms. Web service application composition is crucial in the sharing and integration of fishery data and information. In the present paper, a heuristic web service composition method based on fishery ontology is presented, and the proposed web services are described. Ontology reasoning capability was applied to generate a service composition graph. The heuristic function was introduced to reduce the searching space. The experimental results show that the algorithm used considers the services semantic similarity and adjusts web service composition plan by dynamically relying on the empirical data.
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