Study On Semantic Web Service Matching Algorithm Based On Concept And Application In The Distribution Center System

In the modern context of rapid economic development, the distribution center should not only take traditional role, but also improve the service quality, optimize the product storage, distribution and sorting strategy to reduce the various costs, which require an automated distribution center system to support the unified information management, goods in time and space management, the provision of a comprehensive storage strategy and sorting strategies and effective service discovery.The traditional Web services need too much human intervention because the data relies on human understanding, and the distribution center includes all kinds of business and a large number of services, so it is difficult to achieve automated service discovery of distribution center. The emergence of Semantic Web services provides a new way for intelligent automatic service discovery. Semantic Web proposed as the future Webby Tim Berners-Lee in 2000 international conference on XML. The basic idea is to make computer understand and process information on the Web automatically by Ontology and Semantic Web content tag, so the computer can help people find and process content of Web better, and discover the potential knowledge in the massive Web information.Based on the study and analysis of traditional Web services discovery and semantic Web services discovery at home and abroad, the paper introduces the semantic description language like OWL to describe service, constructs the distribution center related domain ontology and applies ontology and semantic reasoning to the Web service search and discovery, which can provide the semantic foundation for service issue and request. This paper improves a concept-based service matching algorithm through the research of the classic concept-based semantic service matching algorithm in the information field, which can be applied in distribution center service discovery module. Finally, the paper builds and improves the information databases, through the optimization and integration on various business processes of distribution center, realizes the unified information management of distribution center, arranges and maintains warehouse material automatically, provides a comprehensive storage strategy and efficient sorting strategy , and eventually achieves a distribution center system of intelligent service discovery and information automation management.