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The Research on Ontology-Driven Semantic Retrieval of Enterprise Data

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4 Author(s)
Yuanzheng Shao ; State Key Lab. of Inf. Eng. in Surveying Mapping & Remote Sensing, Wuhan Univ., Wuhan ; Lelin Li ; Zhenhong Du ; Qiang Qi

Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval model are analyzed and studied. By using field ontology, semantic research procedure for different types of enterprise data is proposed and implemented. Different types of enterprise data for the semantic reunification process can be presented and achieved in the system based on field ontology. It is believed that the problems about enterprise knowledge integration and retrieval could be solved in some manner according to the experimental results.

Published in:
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on

Date of Conference: 1-3 Nov. 2008

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