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Improved matchmaking algorithm for semantic web services based on bipartite graph matching

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Semantic matching is a technique used in computer science to identify information which is semantically related. Given any two graph-like structures, e. For example, applied to file systems it can identify that a folder labeled "car" is semantically equivalent to another folder "automobile" because they are synonyms in English. This information can be taken from a linguistic resource like WordNet. In the recent years many of them have been offered.
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Improved matchmaking algorithm for semantic web services based on bipartite graph matching
Improved matchmaking algorithm for semantic web services based on bipartite graph matching
Improved matchmaking algorithm for semantic web services based on bipartite graph matching
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Semantic matching - Wikipedia

Semantic Web Service technology is the solution to system integration and business collaboration for smart government which is cross-border and heterogeneous on a large scale. However the tremendous Web services search space caused by the wide range, large scale and complex e-government business systems is one of the great challenges for smart government. The paper focuses on researches about service discovery in e-government business integration for smart government. In accordance with the application environment and the current technical status of e-government, the author proposes a multi-strategy Web service discovery method on the basis of the proposed semantic model. The discovery process comprises three stages: keyword query with semantic enhancement, IO semantic matching and PE semantic matching. Finally similarity calculating method is proposed to evaluate the matching degree of each candidate service for service selection as well as the conclusions. Request Permissions.
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Multi-Strategy Web Service Discovery for Smart Government

Abstract The ability to dynamically discover and invoke a Web Service is a critical aspect of Service Oriented Architectures. An important component of the discovery process is the matchmaking algorithm itself. In order to overcome the limitations of a syntax-based search, matchmaking algorithms based on semantic techniques have been proposed.
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