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)
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.
姜华. 基于本体的语义检索技术研究与实现[J]. 现代图书情报技术, 2008, 24(4): 39-43.
Jiang Hua. Research and Implement of Semantic Search Technology Based on Ontology. New Technology of Library and Information Service, 2008, 24(4): 39-43.
［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.
