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New Technology of Library and Information Service  2014, Vol. 30 Issue (7): 9-16    DOI: 10.11925/infotech.1003-3513.2014.07.02
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Research and Construct of the Service Interface in STKOS Sharing Infrastructure
Liu Yi1, Tang Yijie1, Zhou Zijian1, Yang Ru1, Li Chuanxi2, Zhang Xianfeng3, Liu Chunjiang4
1. Wuhan Library, Chinese Academy of Sciences, Wuhan 430071, China;
2. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
3. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
4. Chengdu Library, Chinese Academy of Sciences, Chengdu 610041, China
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[Objective] The construction of the service interface in STKOS sharing infrastructure can effectively help information services industry to achieve standardization semantic annotation process, semantic search and browsing,knowledge inference and discovery.[Context] Using a standard specification to build open interfaces is one of the important ways to implement services by STKOS.[Methods] Based on STKOS API, the modular design of STKOS query and inference interface are described, and the interface specification design is proposed.[Results] On the basis of the interface, various types of modular interface methods are combined and three types of demonstration scenarios are achieved, including taxonomic clustering, resource annotation, intelligent retrieval.[Conclusions] The objective of enhancing the third-party information systems knowledge service capabilities by STKOS is achieved.

Key wordsService interface      Knowledge organization      Open search      Semantic inference      Web service     
Received: 13 March 2014      Published: 20 October 2014
:  G250  

Cite this article:

Liu Yi, Tang Yijie, Zhou Zijian, Yang Ru, Li Chuanxi, Zhang Xianfeng, Liu Chunjiang. Research and Construct of the Service Interface in STKOS Sharing Infrastructure. New Technology of Library and Information Service, 2014, 30(7): 9-16.

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[1] 孙坦, 刘峥. 面向外文科技文献信息的知识组织体系建设思路[J]. 图书与情报, 2013(1): 2-7. (Sun Tan, Liu Zheng. Methodology Framework of Knowledge Organization System for Scientific & Technological Literature[J]. Library & Information, 2013(1): 2-7.)
[2] Bodenreider O. The Unified Medical Language System (UMLS): Integrating Biomedical Terminology[J]. Nucleic Acids Research, 2004, 32: 267-270.
[3] UMLS Terminology Services API 2.0 Documentation[EB/OL].[2014-01-12]. apidocumentation.
HILT: High-Level Thesaurus Project. Phase IV and Embedding Project Extension: Final Report[R/OL].[2014-04-07].
[5] Watson Web Services[EB/OL].[2014-01-12]. http://watson.
[6] Sindice Search API[EB/OL].[2014-01-12]. http://sindice. com/developers/searchapiv3.
[7] Erl T. SOA: Principles of Service Design[M]. New York: Prentice Hall, 2007.
[8] Pautasso C, Wilde E. RESTful Web Services: Principles, Patterns, Emerging Technologies[C].In: Proceedings of the 19th International Conference on World Wide Web (WWW’ 10).New York: ACM, 2010: 1359-1360.
[9] Apache CXF[EB/OL].[2014-01-15].
[10] BUBL LINK Engineering and Technology[EB/OL].[2014-04-07]. issn=0002-2667&volume=71&issue=4&articleid=1479595.
[11] INFOMINE[EB/OL].[2014-01-16].
[12] 张旺强,祝忠明,卢利农, 等. 机构知识库集成OpenKOS主题标引与检索聚类服务的实现及应用[J]. 现代图书情报技术,2012(3):1-7. (Zhang Wangqiang, Zhu Zhongming, Lu Linong, et al. Implementation and Application of Integrating Subject Indexing and Search Clustering Service of OpenKOS in Institutional Repository[J]. New Technology of Library and Information Service, 2012(3): 1-7.)

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