| 中文叙词表的语义化转换 |
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| 引用本文： | 欧石燕.中文叙词表的语义化转换[J].图书情报工作,2015,59(16):110-118. |
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| 作者姓名： | 欧石燕 |
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| 作者单位： | 南京大学信息管理学院 南京 210032 |
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| 基金项目： | 本文系国家社会科学基金面上项目“基于SOA架构的术语注册和服务系统构建与应用研究”(项目编号:118TQ023)研究成果之一。 |
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| 摘 要： | 目的/意义]随着语义网与关联数据的兴起与发展,采用SKOS语言对叙词表进行语义化描述成为主流,这为叙词表在网络上的发布、共享以及在网络环境下的应用提供新的契机。方法/过程]以《汉语主题词表》为例,对中文叙词表的语义化表示、验证和关联数据发布进行探索。首先,制定基于SKOS、SKOS-XL和SKOS扩展的叙词表语义化表示方案, 实现对叙词表的无损语义描述, 开发基于N-Triples格式的词表语义化转换程序, 使大规模词表的语义化转换更加简单高效;其次,采用新兴的SPIN框架对语义化词表的完整性进行验证, 为SKOS词表的正确性与合法性提供保证;最后,采用“Jena TDB+Fuseki+Pubby”的组合将SKOS/RDF词表数据在网络上发布为关联数据,并开发词表关联数据检索界面。结果/结论]实验结果表明,采用本文的方法能够实现整个《汉语主题词表》的高效语义化转换、验证与发布,促进中文叙词表在网络上的共享与应用。
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| 关 键 词： | SKOS 语义化表示 SKOS词表验证 叙词表 关联数据 |
| 收稿时间： | 2015-07-17 |
Semantic Representation of Chinese Thesauri |
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| Ou Shiyan.Semantic Representation of Chinese Thesauri[J].Library and Information Service,2015,59(16):110-118. |
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| Authors: | Ou Shiyan |
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| Institution: | School of Information Management, Nanjing University, Nanjing 210032 |
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| Abstract: | 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. |
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| Keywords: | SKOS semantic representation SKOS validation thesaurus linked data |
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