[Purpose/significance] This paper constructs a study on the linked data sets of academic records of library and information science in the LISTA database which include documents, authors and journals, then makes a semantic relation discovery experiment using RelFinder,to reveal the implicit relations and some potential laws between different academic units.[Method/process] First of all, it collects the bibliographic data of 666 LIS journals, 5 075 LIS authors and 1 073 academic papers in LISTA database, and imports them into MYSQL database. Then, a lightweight task-based ontology is used to normalize the data, the open source software D2RQ is to convert the data into RDF triples, and Virtuoso is to publish RDF triples as linked data. Finally, the semantic relation between the library and information science academic units is conducted by the RDF visualization software RelFinder, and the discovery process of direct relationship, indirect relationship, secondary indirect relationship and multiple indirect relationship is summarized.[Result/conclusion] RelFinder can reveal the implicit deep relations between academic literature, periodicals and authors. It is of great significance to retrieve academic literature, to reveal the academic framework and to discover the academic knowledge.
Shi Zeshun
,
Xiao Ming
. The Semantic Relation Discovery Practice of Library and Information Science Linked Data Based on RelFinder[J]. Library and Information Service, 2017
, 61(17)
: 139
-148
.
DOI: 10.13266/j.issn.0252-3116.2017.17.018
[1] 洪娜,朱凯,王军辉,等. 利用RelFinder实现生物医学语义关系发现[J]. 情报杂志,2013(4):142-148.
[2] 潘有能,张悦. 关联数据研究与应用进展[J]. 情报科学,2011(1):124-130.
[3] 数据可视化[EB/OL].[2017-03-11]. https://zh.wikipedia.org/wiki/数据可视化.
[4] 陈涛,夏翠娟,刘炜,等. 关联数据的可视化技术研究与实现[J]. 图书情报工作,2015,59(17):113-119.
[5] 洪娜,钱庆,范炜,等. 关联数据中关系发现的可视化实践[J]. 现代图书情报技术,2013(2):11-17.
[6] 任瑞娟,濮德敏,张媛,等. 基于五维学术关系发现的知识脉络可视化实践[J]. 大学图书馆学报,2016,34(1):69-75.
[7] RelFinder:interactive relationship discovery in RDF data[EB/OL].[2017-03-08]. http://www.visualdataweb.org/relfinder.php.
[8] HEIM P, HELLMANN S, LEHMANN J,et al. RelFinder:revealing relationships in RDF knowledge bases[C]//Proceedings of the 4th international conference on semantic and digital media technologies. Berlin:Springer,2009:182-187.
[9] HEIM P, LOHMANN S, STEGEMANN T.Interactive relationship discovery via the Semantic Web[C]//The Semantic Web:research and applications,Proceedings of the 7th extended semantic Web conference.Berlin:Springer,2010:303-317.
[10] BAUMER F S, GIM J, JEONG D H, et al. Linked open data system for scientific data sets[C]//Proceedings of the first international workshop on patent mining and its applications.Aachen:CEUR-WS,2014:1292.
[11] RECUPERO D R, NUZZOLESE A G, CONSOLI S,et al.SHELDON:Semantic Holistic FramEwork for LinkeD ONtology Data[C]//International conference on knowledge engineering and knowledge management. Cham:Springer International Publishing AG,2015:136-139.
[12] SOUTHWICK S B. A guide for transforming digital collections metadata into linked data using open source technologies[J]. Journal of library metadata, 2015, 15(1):1-35.
[13] 张永娟,孙晓丽,管兴华,等. 基于关联数据的专家系统库的构建[J]. 图书馆杂志,2015,34(5):80-84.
[14] D2RQ:Accessingrelational databases as virtual RDF graphs[EB/OL].[2017-03-09]. http://d2rq.org/.
[15] 鲜国建,赵瑞雪,孟宪学. 农业科技多维语义关联数据构建研究[M]. 北京:中国农业科学技术出版社, 2013:55-56.
[16] 邹益民,张智雄,钱力,等. 语义仓储Virtuoso的技术分析和应用[J]. 图书情报工作, 2012, 56(23):97-102.
