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| Study of the Construction and Visualization of SKOS in the Library and Information Science Field Based on Online Thesaurus |
| Shi Zeshun, Xiao Ming |
| School of Government, Beijing Normal University, Beijing 100875 |
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Abstract With the rapid development of the semantic Web and linked data, an increasing number of online thesauruses are being annotated by SKOS, which provides a new opportunity for sharing, publishing, and applying of online thesauruses. In this study, we first crawled the library and information science (LIS) online thesaurus of the EBSCO LISTA database and obtained 4255 formal descriptors and 6988 non-descriptors in total. These vocabularies were used to compose the concept data set of the LIS field. Then, SKOS was used to normalize the semantic relations in the LISTA thesaurus; qSKOS was used to verify the completeness of the semantic vocabulary, thus providing a guarantee for the correctness of the SKOS thesaurus; Apache Jena Fuseki was used to publish the LISTA/SKOS thesaurus to the linked data; and the Jena text index was built to support the Lucene free-text search. Finally, we used Graphviz for the drawing and visualization of the LISTA thesaurus network. We also constructed the LIS Thesaurus Retrieval System using Skosmos. In the system, we can browse, query, and retrieve the LIS thesaurus either in English or Chinese. Hence, we reached the conclusion that SKOS can describe the semantic relations between different descriptors. The construction of LISTA/SKOS is of great significance to concept queries, academic knowledge retrieval, and domain ontology construction.
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Received: 17 July 2017
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