Open, Interlink and Mashup Multilingual Agricultural Data Semantically Based on KOSs

文献类型： 外文期刊

第一作者： Xian, Guojian

作者： Xian, Guojian;Sun, Wei

作者机构：

关键词： Open Data;Linked Data;Knowledge Organization Systems (KOSs);Mashup;Semantic Web;Chinese Agricultural Thesaurus;AGRIS;AGROVOC

期刊名称：2016 3RD INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI)

ISSN： 2474-0217

年卷期： 2016 年

页码：

收录情况： SCI

摘要： In order to explore an efficient way to open, interlink and interoperate multilingual data internationally, this paper firstly gives a conceptual analysis of open data, linked data and knowledge organization system (KOS). The architecture and key technologies for semantically processing and opening Chinese agricultural literature data as RESTful API are illustrated. Finally, the open API is integrated with AGRIS of FAO to interlink and mashup multilin-gual agricultural data semantically based on KOSs (the Chinese Agricultural Thesaurus and AGROVOC and their mappings). The results show it is helpful for different language-background people to discover international multilingual resources easily and efficiently.

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