|Table of Contents|

[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()
Share:

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
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.

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.
Last Update: 2009-12-20