2009Unpublished venueRequires access

Using Inverted Indexing to Semantic WEB Service Discovery Search Model

Bo Zhou, Tinglei Huang, Jie Liu, Meizhou Shen

Open publisher page 17 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available 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.

Key concepts: Search engine indexing, Computer science, Inverted index, Information retrieval, Search engine, Service (business), Semantic search, Data mining

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