[1] Fu Zhihong, Chen Huajun, Yu Tong,. Intelligent search on integrated knowledge baseof traditional Chinese medicine [J]. Journal of Southeast University (English Edition), 2009, 25 (4): 460-463. [doi:10.3969/j.issn.1003-7985.2009.04.009]
Copy
Intelligent search on integrated knowledge baseof traditional Chinese medicine(
)
基于中医药集成知识库的智能搜索
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 25
- Issue:
- 2009 4
- Page:
- 460-463
- Research Field:
- Computer Science and Engineering
- Publishing date:
- 2009-12-30
Info
- Title:
- Intelligent search on integrated knowledge baseof traditional Chinese medicine
- 基于中医药集成知识库的智能搜索
- Author(s):
- Fu Zhihong; Chen Huajun; Yu Tong
- College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
- Keywords:
- intelligent search; semantic web; knowledge base; semantic index
- PACS:
- TP311
- DOI:
- 10.3969/j.issn.1003-7985.2009.04.009
- Abstract:
- To semantically integrate heterogeneous resources and provide a unified intelligent access interface, semantic web technology is exploited to publish and interlink machine-understandable resources so that intelligent search can be supported. TCMSearch, a deployed intelligent search engine for traditional Chinese medicine(TCM), is presented. The core of the system is an integrated knowledge base that uses a TCM domain ontology to represent the instances and relationships in TCM. Machine-learning techniques are used to generate semantic annotations for texts and semantic mappings for relational databases, and then a semantic index is constructed for these resources. The major benefit of representing the semantic index in RDF/OWL is to support some powerful reasoning functions, such as class hierarchies and relation inferences. By combining resource integration with reasoning, the knowledge base can support some intelligent search paradigms besides keyword search, such as correlated search, semantic graph navigation and concept recommendation.
- 为了对异质异构数据资源进行语义集成并提供统一的智能访问接口, 利用语义Web技术发布机器可理解的数据资源及其之间的关系, 以支持智能搜索等功能. 介绍了中医药智能搜索引擎TCMSearch, 该搜索引擎的核心为一个集成语义知识库, 该知识库利用领域本体来表示中医药领域的实例及其之间的关系. 首先, 针对普通文本, 系统采用了机器学习的方法对其进行语义标注; 对于关系型数据库数据, 则采用了语义映射的方法统一其语义信息. 然后, 系统为集成的数据资源构建了一个语义索引, 该索引采用本体语言RDF/OWL进行表示, 从而支持一些强大的推理功能, 如类层次关系推理和实例关系推理. 最后, 通过利用该语义索引以及其支持的推理功能, 系统能够在集成知识库的基础上提供智能化搜索, 如关联搜索、语义图浏览以及实例推荐等新功能.
References:
[1] Zhou Linhua, Chen Huajun, Zhang Yu, et al. A semantic mapping system for bridging the gap between relational database and semantic web [C]//2008 AAAI Spring Symposium. Stanford, CA, USA, 2008: 122-127.
[2] An Yuan, Topaloglou T. Maintaining semantic mappings between database schemas and ontologies [C]//Lecture Notes in Computer Science. Heidelberg: Springer, 2008: 138-152.
[3] Chen Huajun, Wang Yiming, Wang Heng, et al. Towards a semantic web of relational databases: a practical semantic Toolkit and an in-use case from traditional Chinese medicine [C] // Proc of the Fifth International Semantic Web Conference. Athens, GA, USA, 2006: 750-763.
[4] Popov B, Kiryakov A, Ognyanoff D, et al. KIM—a semantic platform for information extraction and retrieval [J]. Natural Language Engineering, 2004, 10(3/4): 375-392.
[5] Dill S, Eiron N, Gibson D, et al. SemTag and Seeker: bootstrapping the semantic web via automated semantic annotation [C]//Proc of the 12th International World Wide Web Conference. New York, USA: ACM Press, 2003: 178-186.
[6] Vargas-Vera M, Motta E, Domingue J, Lanzoni M, et al. MnM: ontology driven semi-automatic and automatic support for semantic markup [C]//Proc of the 13th International Conference on Knowledge Engineering and Knowledge Management. London: Springer-Verlag, 2002: 379-391.
[7] Herflin J, Hendler J. Searching the web with SHOE [C]//Artificial Intelligence for Web Search. Papers from the AAAI Workshop. AAAI Press, 2000: 35-40.
[8] Cunningham H, Maynard D, Bontcheva K, et al. GATE: a framework and graphical development environment for robust NLP tools and applications [C]//Proc of the 40th Anniversary Meeting of the Association for Computational Linguistics. Philadelphia, USA, 2002: 168-175.
[9] Wu Zhaohui, Chen Huajun, Deng Shuiguang, et al. DartGrid: RDF-mediated database integration and process coordination using grid as the platform [C]//Proc of the 7th Asia-Pacific Web Conference. Shanghai, China, 2005:351-363.
[10] Vdovjak R, Houben G J. RDF based architecture for semantic integration of heterogeneous information sources [C]//Workshop on Information Integration on the Web. Eindhoven, The Netherlands, 2001.
[11] Ding L, Finin T, Joshi A, et al. Swoogle: searching for knowledge on the semantic web [C]//Proc of the 20th National Conference on Artificial Intelligence. AAAI Press, 2005: 1682-1683.
[12] Cheng Gong, Qu Yuzhong. Searching semantic web objects with Falcons: approach, implementation and evaluation [J]. International Journal on Semantic Web and Information Systems, 2009, 5(3): 49-70.
[13] Thomas E, Alani H, Sleeman D, et al. Searching and ranking ontologies on the semantic web [C]//Proc of KCAP05 Workshop on Ontology Management: Searching, Selection, Ranking and Segmentation. Banff, Canada, 2005: 57-60.
Memo
- Memo:
-
Biographies: Fu Zhihong(1984—), male, graduate;Chen Huajun(corresponding author), male, doctor, associate professor, huajunsir@zju.edu.cn.
Foundation items: Program for Changjiang Scholars and Innovative Research Team in University(No.IRT0652), the National High Technology Research and Development Program of China(863 Program)(No. 2006AA01A123).
Citation: Fu Zhihong, Chen Huajun, Yu Tong.Intelligent search on integrated knowledge base of traditional Chinese medicine[J]. Journal of Southeast University(English Edition), 2009, 25(4): 460-463.