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一种扩展关键词的RDF模糊查询方法 被引量:1

A RDF fuzzy retrieval mechanism of extending keywords
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摘要 针对文字类型RDF(the resource description framework)的模糊查询问题,提出扩展关键词的RDF模糊查询方法。通过在FILTER子句中增加模糊条件,扩展SPARQL(simple protocol and RDF query language),使其具有表达模糊查询的能力。结合《同义词词林》和《知网》特点,定义词语距离计算公式,并将词语距离作为词语语义相似度计算参数,给出了一种通过义原组合的方式计算词语语义相似度的方法,调用映射函数将语义相似度大于0.5的词语作为扩展的关键词,加入查询条件实现模糊条件转换,并利用现有的SPARQL查询引擎,完成了RDF模糊查询处理。最后,通过实验系统验证了所提方法的可用性。 A retrieval method of extending keywords in RDF (resource description framework) tuzzy query is proposed for the issues of litera type RDF fuzzy query. It extends SPARQL through adding the fuzzy conditions in FILTER clause, and then SPAR- QL gets the expression ability of fuzzy query. The calculation formula of word distance is defined. It makes the word distance as the semantic similarity parameters, and the degrees of semantic similarity can be calculated by primaries combination. The words that get the semantic similarity degrees greater than 0.5 can be regarded as extending keywords through calling the mapping func- tion, and the query conditions with extending keywords realize the fuzzy conditions conversion. The existing SPARQL query en- gine processes the RDF fuzzy query. The experimental system verifies the availability of the proposed method.
出处 《中国科技论文》 CAS 北大核心 2013年第10期989-993,共5页 China Sciencepaper
基金 国家自然科学基金资助项目(61073139)
关键词 RDF 词语距离 词语语义相似度 SPARQL RDF word distance word semantic similarity SPARQL
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