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| Research and Implement of Semantic Search Technology Based on Ontology |
| Jiang Hua 1,2 |
1(College of Computer Science,Liaocheng University,Liaocheng 252059,China)
2(Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230027,China) |
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Abstract Through computing the similarity and relevancy based on Ontology, the author uses semantic reasoning to make connotative semantics clear in order to mine fully the information correlative with the search content. This paper implements the relevant information’s semantic fusion and improves the precision and recall.The method of computing semantic similarity and relevancy based on Ontology is studied and is proved feasible by implementing the semantic search method.
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Received: 02 November 2007
Published: 25 April 2008
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Corresponding Authors:
Jiang Hua
E-mail: jianghua@lcu.edu.cn,jiang_h@163.com
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| About author:: Jiang Hua |
| ［1］ Berners-Lee T, Hendler J.The Semantic Web［J］.Scientific American, 2001, 284(5): 34-43.
［2］ Gruber T.A Translation Approach to Portable Ontology Specifications［J］.Knowledge Acquisition Acquisition，1993(5)：199-200.
［3］ 侯国锋.一个自然语言理解系统的设计和实现［J］.计算机应用研究,2001(2):19-22.
［4］ AQUA: An Ontology-driven Question Answering System［C］. AAAI Symposium on New Directions of Question Answering Stanford University, March 24-26, 2003.
［5］ Zhao H, Huang C N, Li M, et al. Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling［C］. The 20th Pacific Asia Conference on Language, Information and Computation (PACLIC-20), Wuhan, China, November 1-3, 2006.
［6］ 张晨彧,穆斌.语义Web中的语义度量与本体映射［J］.合肥工业大学学报(自然科学版), 2006,29(3):300-304.
［7］ Forgy C L. Rete: A Fast Algorithm for the Many Pattern/many Object Pattern Match Problem［J］.Artificial Intelligence,1982,19(1):17-37. |
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