Recent Advancements in Semantic Web Service Selection

Abstract

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Conventional web services have more minor role of semantics for finding appropriate web services. In semantic web service selection, the maximum matching process plays an important role in finding accurate results using semantics. Most of the pre-existing web service selection approaches work based on keyword-based searching to find the relevant results for the corresponding user query. These approaches neglect the semantic understanding, which leads to irrelevant results for a user query. This paper reviews existing state-of-the-art for semantic web service selection. The techniques discussed here focused on the semantic capabilities and are also applicable for both web service composition and web service selection. Furthermore, two network flow-based approaches for maximum matching are applied, and an improvement in web service selection is observed.