农业科学叙词表的SKOS转化及其应用研究

Conversion and Consumption of Chinese Agricultural Thesaurus as SKOS

采用W3C推荐的标准SKOS将农业科学叙词表(CAT)中的叙词及词间语义关系进行描述,通过编写转化程序,将存放于数据库中的CAT自动批量地转化为CAT/SKOS格式。基于转化得到的CAT/SKOS以及开源全文检索引擎Solr和优化后的Lucene-SKOS插件,完成了百万级中外文农业科技期刊文摘的语义索引。同时,基于CAT/SKOS中的语义关系,实现一个可支持跨中英双语、可扩展和重构检索条件的智能检索原型系统,并对CAT在关联数据的构建与应用等方面进行展望。

This paper represents the descriptor, non - descriptor and semantic relationships of Chinese Agricultural The- saurus （CAT） as SKOS, and develops an application to convert CAT to CAT/SKOS automatically, and indexes millions of agricultural abstracts semantically based on CAT/SKOS, Solr and the improved Lucene -SKOS plugin. Then it realizes a semantic retrieval prototype system, which supports cross -language search （Chinese and English） , and can also extend and reconstruct the query based on semantic relationship in CAT/SKOS. Finally, the authors make some prospects on the future applications of CAT/SKOS such as the publication as Linked Data.