An Ontology Learning Method for Web Service Description

Abstract

The invention discloses an ontological learning method applicable to Web service description. The method comprises the following steps of, firstly, collecting Web service description documents, obtaining input and output parameters in the documents and preprocessing every input and output parameter; secondly, utilizing an hHDP (h heuristic dynamic programming) algorithm to generate levels of a subject through a top-bottom learning method; thirdly, utilizing a sampling method of 'Chinese restaurant problem' to estimate the subject of every level; lastly, obtaining a representative word to construct an initial ontological body and enhancing the semantics of the ontological body through semantic enhancing rules to form a final ontological body. The ontological learning method applicable to Web service description has the advantages of having good universality by generating the ontological body for Web service unsupervised learning with WSDL (web services description language) description; being capable of finding out implicit semantic level relationship and meanwhile guaranteeing the richness of the learned ontological semantics through the semantic enhancing rules, thereby having good ontological learning effects; being capable of supporting Web service discovery and recommendation and having wide applicability due to the fact that the learning ontological body can serve for Web service semantic annotation.

Description

technical field [0001] The invention belongs to the technical field of service computing, in particular to an ontology learning method oriented to Web service description. Background technique [0002] With the change of Internet computing environment and software architecture, Internet-based software service development has become increasingly popular. The highly distributed and autonomous nature of various computing resources in the software service environment brings new challenges to the development of software systems. Service-oriented architecture can deal with such dynamic, changeable and complex problems, so with the development of service-oriented architecture and software-as-a-service technology, service-oriented software development begins to flourish. In this case, the scale of Web services on the Internet began to grow rapidly. For example, as of September 16, 2013, the number of Web services published on the Web service programming website ProgrammableWeb has ...

AI Technical Summary

Problems solved by technology

The efficiency of manually building ontology is low, so it is necessary to establish a method for learning ontology from existing Web service descriptions, so as to assist domain experts to build high-quality domain ontology

At present, there are not many methods for ontology learning based on Web service descriptions. The method based on association rules can discover concepts with close semantic relations, but it is difficult to discover hierarchical semantic relations.

The learning method based on the hierarchical clustering method can discover the semantic hierarchical relationship, but the further enhancement of the semantics after the hierarchical relationship is established is still lacking

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