SKE Key Technologies and Services for Knowledge Discovery
Song Wen1, Huang Jinxia1, Liu Yi2, Tang Yijie2
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. The Wuhan Branch of National Science Library, Chinese Academy of Sciences, Wuhan 430071, China
Abstract：Subject Knowledge Environment(SKE) is a tool to build the knowledge environments and academic communities embedded in the user scientific workflows. Based on a research Ontology and a domain Ontology as the knowledge organization models, and the application on semantic Web technologies and reasoning rules, SKE has the functionalities on information management, knowledge organization and knowledge discovery, while realizes the user customizations on Ontology reusing, system management and data reusing. SKE is currently in the services on building the XKEs, mainly used in the constructions of specific subject knowledge environment, research community, project information environment and collaborative research platform of major research groups.
宋文, 黄金霞, 刘毅, 汤怡洁. 面向知识发现的SKE关键技术及服务[J]. 现代图书情报技术, 2012, 28(7): 13-18.
Song Wen, Huang Jinxia, Liu Yi, Tang Yijie. SKE Key Technologies and Services for Knowledge Discovery. New Technology of Library and Information Service, 2012, 28(7): 13-18.
[1] Arms W Y, Larsen R L. The Future of Scholarly Communication:Building the Infrastructure for Cyberscholarship[R/OL]. [2010-05-15]. http://www.sis.pitt.edu/~repwkshop/NSF-JISC-report.pdf.[2] 张晓林. 重新认识知识过程和知识服务[J]. 图书情报工作 ,2009,53(1):6-8.(Zhang Xiaolin. Revisit Knowledge Processes and Knowledge Services[J]. Library and Information Service, 2009, 53(1):6-8.)[3] Berners-Lee T, Hendler J, Lassila O. The Semantic Web:A New Form of Web Content That is Meaningful to Computers Will Unleash a Revolution of New Possibilities[J/OL]. Scientific American Special Online Issue, 2002:24-30.[4] W3C. Linked Data[EB/OL].[2012-04-20]. http://www.w3.org/standards/semanticweb/data.[5] VIVO. An Interdisciplinary Network[EB/OL]. [2012-04-02].http://www.vivoweb.org.[6] Harvard Catalyst Profiles[DB/OL]. [2012-04-20]. http://orbitproject.org/resource/harvard-catalyst-profiles.[7] 孙坦.近两年国外知识本体研究的进展[J]. 图书馆建设 ,2008(8):79.(Sun Tan. Process in the Study on Domain Ontology in 2006-2007[J]. Library Development,2008(8):79.)[8] 黄金霞,宋文,刘峥,等. 学科领域本体的一个实证研究——兼论杜威分类法与中图分类法的再次比较[J]. 图书馆杂志 ,2010(7):21-25.(Huang Jinxia, Song Wen, Liu Zheng, et al. Empirical Analysis on the Construction of Domain Ontology ——And Re-comparative Research on DDC & Chinese Library Classification[J].Library Journal, 2010(7):21-25.)[9] W3C Member Submission. SWRL:A Semantic Web Rule Language Combining OWL and RuleML[EB/OL].[2012-04-20]. http://www.w3.org/Submission/SWRL/.[10] 黄金霞, 景丽. 面向VIVO本体的数据摄取实用工具[J]. 现代图书情报技术 ,2011(2):16-20.(Huang Jinxia, Jing Li. An Data Ingest Tool for VIVO Ontology[J].New Technology of Library and Information Service, 2011(2):16-20.)[11] 陶俊, 孙坦, 刘峥. 关联数据映射语言:R2R[J]. 中国图书馆学报 ,2012,38(3):100-109.(Tao Jun, Sun Tan, Liu Zheng. Linked Dataset Mapping Language:R2R[J].Journal of Library Science in China, 2012,38(3):100-109.)
