Research on Application of Ontology Reasoning in Linkage Discovery of Linked Data
Liang Yiduo1,2, Zhai Jun1
1 Transportation Management College, Dalian Maritime University, Dalian 116026, China;
2 Department of Information Technology and Business Management, Dalian Neusoft University of Information, Dalian 116023, China
[Objective] Take advantage of Ontology reasoning for linkage discovery of linked data. [Context] Based on the application in library and with book resources as research object, Ontology reasoning is applied to establish the linkage relationship between resources. [Methods] The linkage discovery framework is proposed and description of each layer is given. Fuseki, Jena, Pubby and PHP are used to implement the framework, and effectiveness inspection scheme is designed and executed. [Results] The experiment results show that the framework can establish the linkage relationship between book resources. By comparing with the similarity match method, the average recall ratio of linkage discovery can be increased by about 15%. Also, semantic knowledge discovery can be achieved. [Conclusions] Ontology reasoning can effectively be applied to the linkage discovery of linked data, which has high engineering application value.
梁艺多, 翟军. 本体推理在关联数据链接发现中的应用研究[J]. 现代图书情报技术, 2015, 31(4): 87-95.
Liang Yiduo, Zhai Jun. Research on Application of Ontology Reasoning in Linkage Discovery of Linked Data. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2015.04.12.
[1] Berners-Lee T. Linked Data [EB/OL]. [2014-08-31]. http://www.w3.org/DesignIssues/LinkedData.html.
[2] 夏翠娟, 刘炜, 赵亮, 等. 关联数据发布技术及其实现——以Drupal为例[J]. 中国图书馆学报, 2012, 38(1): 49-57. (Xia Cuijuan, Liu Wei, Zhao Liang, et al. The Current Technologies and Tools for Linked Data: A Case of Drupal [J]. Journal of Library Science in China, 2012, 38(1): 49-57.)
[3] Bizer C, Heath T, Berners-Lee T. Linked Data-The Story So Far [J]. International Journal on Semantic Web and Information Systems, 2009, 5(3): 1-22.
[4] 游毅. 面向图书馆关联数据的语义链接构建研究——以Silk工具为例[J]. 图书与情报, 2014(3): 74-78. (You Yi. Research on Building Semantic Link of Library Linked Data: A Case of Silk [J]. Library & Information, 2014(3): 74-78.)
[5] Tversky A. Features of Similarity [J]. Psychological Review, 1977, 84(4): 327-352.
[6] Mi J, Chen H, Lu B, et al. Deriving Similarity Graphs from Open Linked Data on Semantic Web [C]. In: Proceedings of IEEE International Conference on Information Reuse & Integration (IRI 2009). Las Vegas, NV, USA. New Jersey: IEEE, 2009: 157-162.
[7] 张晓辉, 蒋海华, 邸瑞华. 基于属性权重的链接数据共指关系构建[J]. 计算机科学, 2013, 40(2): 40-43. (Zhang Xiaohui, Jiang Haihua, Di Ruihua. Property Weight Based Co-reference Resolution for Linked Data [J]. Computer Science, 2013, 40(2): 40-43.)
[8] 邓兰兰, 李春旺. Web数据关联创建策略研究[J]. 现代图书情报技术, 2011(5): 1-6. (Deng Lanlan, Li Chunwang. Study on Linkage Creation Strategies of Web Data [J]. New Technology of Library and Information Service, 2011(5): 1-6.)
[9] 刘彦斌, 周春光, 张重毅, 等. 基于本体的语义生物信息数据库资源链接[J]. 吉林大学学报: 工学版, 2010, 40(6): 1650-1654. (Liu Yanbin, Zhou Chunguang, Zhang Zhongyi, et al. Resource Interlinking of Semantic Bioinformatics Database Based on Ontology [J]. Journal of Jilin University: Engineering and Technology Edition, 2010, 40(6): 1650-1654.)
[10] Apache Jena. Fuseki:Serving RDF Data over HTTP [EB/OL]. [2014-11-12]. http://jena.apache.org/documentation/serving_ data/.
[11] Apache. Apache Jena [EB/OL]. [2014-11-12]. http://jena.apache. org/index.html.
[12] GitHub. ARC RDF Classes for PHP [EB/OL]. [2014-11-12]. https://github.com/semsol/arc2.
[13] Cyganiak R, Bizer C. Pubby: A Linked Data Frontend for SPARQL Endpoints [EB/OL]. [2014-11-12]. http://wifo5-03. informatik.uni-mannheim.de/pubby/.
[14] 大连海事大学图书馆OPAC[DB/OL]. [2014-11-12]. http://202.118.84.134:8080/opac_two/search2/searchout.jsp. (Dalian Maritime University Library OPAC [DB/OL]. [2014-11-12]. http://202.118.84.134:8080/opac_two/search2/searchout.jsp.)
