2018 Vol.1 Jun No.3

• Title: Research on Intelligent Information Retrieval Based on Semantic Web Technology
• Name: Patrick Randolph
• Company: Lausanne Federal Polytechnic University, Switzerland
• Abstract:

  According to the big stride of progress of the Internet and the increase of the network resources, it was very important to search the information resources for meeting the need of large ground of users. The key words were used as the indexes for retrieval with traditional method. But it couldn’t reflect the real purposes and intentions of the users precisely. An improved information retrieval method based on the semantic web technology was proposed for carrying out the information retrieval work precisely and effectively. The mew retrieval system was not just recognizing the words simply, but it could comprehend the semantic ingredients of the words and sentences. The semantic web retrieval system was constructed eventually. Comparing to the traditional keywords retrieval method, the similarity degree was calculated in the simulation, simulation result shows that the retrieval precision ratio of new method increases by 15%, then the intelligent, efficient and accurate information retrieval system is realized successfully.

• Keyword: information retrieval, semantic web, similarity, keywords retrieval
• DOI: 10.12250/jpciams2018030117
• Citation form: Patrick Randolph.Research on Intelligent Information Retrieval Based on Semantic Web Technology[J]. Computer Informatization and Mechanical System, 2018, vol. 1, pp. 13-17.

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