[1] Wen Kunmei, Lu Zhengding, Li Ruixuan, Sun Xiaolin, et al. Design and implementation of semantic search engine Smartch [J]. Journal of Southeast University (English Edition), 2007, 23 (3): 317-321. [doi:10.3969/j.issn.1003-7985.2007.03.001]
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Design and implementation of semantic search engine Smartch(
)
语义搜索引擎Smartch的设计与实现
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 23
- Issue:
- 2007 3
- Page:
- 317-321
- Research Field:
- Computer Science and Engineering
- Publishing date:
- 2007-09-30
Info
- Title:
- Design and implementation of semantic search engine Smartch
- 语义搜索引擎Smartch的设计与实现
- Author(s):
- Wen Kunmei; Lu Zhengding; Li Ruixuan; Sun Xiaolin
- College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
- 语义搜索; 搜索引擎; 语义搜索引擎Smartch; 语义web; 本体
- PACS:
- TP311
- DOI:
- 10.3969/j.issn.1003-7985.2007.03.001
- Abstract:
- To integrate reasoning and text retrieval, the architecture of a semantic search engine which includes several kinds of queries is proposed, and the semantic search engine Smartch is designed and implemented.Based on a logical reasoning process and a graphic user-defined process, Smartch provides four kinds of search services.They are basic search, concept search, graphic user-defined query and association relationship search.The experimental results show that compared with the traditional search engine, the recall and precision of Smartch are improved.Graphic user-defined queries can accurately locate the information of user needs.Association relationship search can find complicated relationships between concepts.Smartch can perform some intelligent functions based on ontology inference.
- 为了将推理与文本检索有效融合起来, 提出了一种包含多类型查询的语义搜索引擎体系结构, 在此基础上设计并实现了语义搜索引擎系统Smartch.Smartch基于合理的推理流程和图形化定制过程, 提供4种形式的搜索服务, 分别是基本搜索、概念搜索、图形化定制搜索及关联关系搜索.实验结果表明语义搜索引擎Smartch和传统搜索引擎相比, 在本体推理的基础上, 查全率和查准率上有一定的提高, 图形化定制查询可准确定位用户需查询的概念, 关联关系搜索可发现概念之间存在的复杂关系, Smartch实现了一定程度的智能搜索.
References:
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Memo
- Memo:
- Biographies: Wen Kunmei(1979—), female, graduate;Lu Zhengding(corresponding author), male, professor, zdlu@hust.edu.cn.