Using Inverted Indexing to Semantic WEB Service Discovery Search Model
Bo Zhou, Tinglei Huang, Jie Liu, Meizhou Shen
Abstract
Bo Zhou, Tinglei Huang, Jie Liu, Meizhou Shen
Abstract
The goal of this research was the design and implementation of the inverted indexing used into the semantic Web service discovery search model (SWSDSM) in order to find the target services in a quick, accurate and efficient way. Recent research has demonstrated the potential benefits of the inverted indexing. The inverted indexing greatly accelerates the filtering of irrelevant atomic services. The model by making use of the inverted indexing show that it provides better performance on response time than the sequential matchmaking, and better recall rate than the model without the exploration of inverted indexing.
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The goal of this research was the design and implementation of the inverted indexing used into the semantic Web service discovery search model (SWSDSM) in order to find the target services in a quick, accurate and efficient way. Recent research has demonstrated the potential benefits of the inverted indexing. The inverted indexing greatly accelerates the filtering of irrelevant atomic services. The model by making use of the inverted indexing show that it provides better performance on response time than the sequential matchmaking, and better recall rate than the model without the exploration of inverted indexing.
Key concepts: Search engine indexing, Computer science, Inverted index, Information retrieval, Search engine, Service (business), Semantic search, Data mining