With the rise and growth of the Semantic Web and Linked Data, semantically representing a thesaurus in SKOS becomes a main trend,which provides a new opportunity to publish and share thesauri on the Web as well as their application in a network environment.[Method/process]By taking Chinese Thesaurus for an example, this paper seeks to investigate the semantic representation, validation and linked data publication of Chinese thesauri.Firstly, the author designed a representation schema based on SKOS, SKOS-XL and SKOS extensions to achieve the lossless semantic representation of thesauri, and developed a semantic transformation program based on the N-Triples format to make the semantization of large-scale thesaurus easy and efficient.Then, the author performed the validation of SKOS/RDF thesauri using the emerging SPIN framework to ensure their correctness and validity.Finally, the author published Chinese Thesaurus on the Web as Linked Data using the combination of “Jena TDB + Fuseki + Pubby”, and developed an information retrieval interface for thesaurus linked data.[Result/conclusion]The experiment results show that the proposed method can be used in the efficient semantic representation, validation and publication of Chinese Thesaurus.This study provides a valuable attempt to facilitate the sharing and application of Chinese thesauri on the Web.
[1] Shiri A, Revie C.Thesauri on the Web:Current developments and trends[J].Online Information Review, 2000,24(4): 273-279.
[2] Lauser B, Sini M, Liang A, et al.From AGROVOC to the Agricultural Ontology Service / Concept Server: An OWL model for managing ontologies in the agricultural domain[C]//Baker T, Solorio J.Proceedings of the 2006 International Conference on Dublin Core and Metadata Applications:Metadata for Knowledge and Learning.Singapore: Dublin Core Metadata Initiative, 2006:76-88.
[3] 曾新红.《中国分类主题词表》的OWL表示及其语义深层揭示研究[J].情报学报, 2005,24(2):151-160.
[4] Assem M, Malaisé V, Miles A,et al.A method to convert thesauri to SKOS[C] //Sure Y, Domingue J.Volume 4011 of Lecture Notes in Computer Science: Proceedings of the 3rd European Semantic Web Conference.Berlin: Springer, 2006: 95-109.
[5] Paredes L, Rodríguez J, Azcona E.Promoting government controlled vocabularies for the Semantic Web:The EUROVOC thesaurus and the CPV product classification system[C/OL]//Kollias S, Cousins J.Proceedings of the 1st International Workshop on Semantic Interoperability in the European Digital Library held at 5th European Conference on the Semantic Web.2008: 111-122.[2015-07-10].http://image.ntua.gr/swamm2006/SIEDLproceedings.pdf.
[6] Summers E, Isaac A, Redding C, et al.LCSH, SKOS and Linked Data[C]//Dekkers M, Neuroth H.Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications.Singapore: Dublin Core Metadata Initiative, 2008:25-33.
[7] Morshed A, Keizer J, Johannsen G, et al.From AGROVOC OWL model towards AGROVOC SKOS model[OL].[2015-07-08].http://aims.fao.org/sites/default/files/al300e00_1.pdf.
[8] Meij L, Isaac A, Zinn C.A Web-based repository service for vocabularies and alignments in the cultural heritage domain[C]//Aroyo L, Antoniou G, Hyvönen E.Proceedings of the 7th European Conference on the Semantic Web: Research and Applications-Volume Part 1.Heidelberg: Springer, 2010:394-409.
[9] Neubert J.Bringing the “thesaurus for economics” on to the Web of linked data[C/OL]//Bizer C, Heath T, Berners-Lee T,et al.Proceedings of the WWW 2009 Workshop on Linked Data on the Web.CEUR-WS.org, 2009.[2012-07-10].http://ceur-ws.org/Vol-538/ldow2009_paper7.pdf.
[10] 贾君枝.简单知识组织系统与汉语主题词表[J].中国图书馆学报,2008, 34(1):75-84.
[11] 贾君枝,杨洁,卫荣娟.《汉语主题词表》 简单知识组织系统表示的自动转换设计[J].情报理论与实践,2011, 34(5):54-57.
[12] 刘丽斌,张寿华,濮德敏,等.《中国分类主题词表》的SKOS描述自动转换研究[J].中国图书馆学报,2009, 35(6):56-60.
[13] 曾新红.中文知识组织系统形式化语义描述标准体系研究(一)——扩展SKOS实现传统受控词表全描述[J].中国图书馆学报,2012,38(2):57-66.
[14] 刘华梅.《中国分类主题词表》主题词 SKOS 化描述及自动转换研究[J].图书馆建设,2014(8):29-36.
[15] 鲜建国, 赵瑞雪, 寇远涛,等.农业科学叙词表关联数据构建研究与实践[J].现代图书情报技术, 2013(11): 8-14.
[16] Isaac A, Summers E.SKOS Simple Knowledge Organization System primer: W3C working group note 18 August 2009[EB/OL].[2015-07-10].http://www.w3.org/TR/skos-primer/.
[17] Miles A, Bechhofer S.SKOS Simple Knowledge Organization System reference:W3C recommendation 18 August 2009[EB/OL].[2015-07-10].http://www.w3.org/TR/skos-reference/.
[18] Knublauch H.Where OWL fails[EB/OL].[2015-07-06].http://composing-the-semantic-web.blogspot.com/2010/04/where-owl-fails.html.
[19] SPIN-SPARQL inferencing notation[OL].[2015-07-10].http://spinrdf.org/.
[20] Knublauch H, Idehen K, James A.SPARQL Inferencing Notation (SPIN)[EB/OL].[2015-07-10].http://www.w3.org/Submission/2011/02/.
[21] Knublauch H.The TopBraid SPIN API[EB/OL].[2015-07-10].http://topbraid.org/spin/api/.
[22] SKOSSPIN[EB/OL].[2015-07-10].http://topbraid.org/spin/skosspin.
[23] Heath T, Bizer C.Linked Data: Evolving the Web into a global data space[M]//Synthesis Lectures on the Semantic Web: Theory and Technology.Morgan & Claypool,2011:1-136.
