基于压缩实体摘要图的RDF数据关键词查询

提出一种将关键词查询转换为SPARQL查询的方法来进行RDF数据的搜索.首先,根据RDF本身的关联特点,构建一个压缩实体摘要图;然后,借助关键词与所在实体的索引,将所查询的关键词在该摘要图上进行定位,通过图双向搜索算法找出包含关键词实体的前k子图,获得查询实体之间的关系,再联合最初的关键词及他们的属性,构建SPARQL查询;最后使用SPARQL搜索引擎执行查询.实验结果表明,所提方法较其他方法有更快的响应时间及更高的准确率....

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Published in东北大学学报(自然科学版) Vol. 38; no. 1; pp. 22 - 26
Main Author 林晓庆 马宗民
Format Journal Article
LanguageChinese
Published 东北大学 信息科学与工程学院,辽宁 沈阳 110819 2017
辽东学院 信息工程学院,辽宁 丹东 118003%东北大学 信息科学与工程学院,辽宁 沈阳,110819
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ISSN1005-3026
DOI10.3969/j.issn.1005-3026.2017.01.005

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Abstract 提出一种将关键词查询转换为SPARQL查询的方法来进行RDF数据的搜索.首先,根据RDF本身的关联特点,构建一个压缩实体摘要图;然后,借助关键词与所在实体的索引,将所查询的关键词在该摘要图上进行定位,通过图双向搜索算法找出包含关键词实体的前k子图,获得查询实体之间的关系,再联合最初的关键词及他们的属性,构建SPARQL查询;最后使用SPARQL搜索引擎执行查询.实验结果表明,所提方法较其他方法有更快的响应时间及更高的准确率.
AbstractList 提出一种将关键词查询转换为SPARQL查询的方法来进行RDF数据的搜索.首先,根据RDF本身的关联特点,构建一个压缩实体摘要图;然后,借助关键词与所在实体的索引,将所查询的关键词在该摘要图上进行定位,通过图双向搜索算法找出包含关键词实体的前k子图,获得查询实体之间的关系,再联合最初的关键词及他们的属性,构建SPARQL查询;最后使用SPARQL搜索引擎执行查询.实验结果表明,所提方法较其他方法有更快的响应时间及更高的准确率.
TP311.13; 提出一种将关键词查询转换为SPARQL查询的方法来进行RDF数据的搜索。首先,根据RDF本身的关联特点,构建一个压缩实体摘要图;然后,借助关键词与所在实体的索引,将所查询的关键词在该摘要图上进行定位,通过图双向搜索算法找出包含关键词实体的前k子图,获得查询实体之间的关系,再联合最初的关键词及他们的属性,构建SPARQL查询;最后使用SPARQL搜索引擎执行查询。实验结果表明,所提方法较其他方法有更快的响应时间及更高的准确率。
Abstract_FL A method of translating keyword queries to SPARQL queries was presented to implement RDF ( resource description framework ) keyword search. Firstly, a condensed entity summary was constructed according to connections of RDF data. Then, keywords were located on the designated nodes of the summary graph by the OPS ( object predicate subject) index. Top-k subgraphs connecting all keyword entities would be found by a bidirectional search algorithm. Finally, SPARQL queries were obtained by incorporating inter-entity relationships of top-k subgraphs, keywords and their properties, and SPARQL queries were executed by a SPARQL search engine. The experimental results show that a faster response time and a higher accuracy than the existing ones are achieved.
Author 林晓庆 马宗民
AuthorAffiliation 东北大学信息科学与工程学院,辽宁沈阳110819 辽东学院信息工程学院,辽宁丹东118003
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Author_FL LIN Xiao-qing
MA Zong-min
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Keywords SPARQL
双向搜索
RDF
condensed entity summary graph
OPS ( object predicate subject) index
压缩实体摘要图
RDF ( resource description framework)
OPS索引
bidirectional search
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Notes A method of translating keyword queries to SPARQL queries was presented to implement RDF( resource description framework) keyword search. Firstly,a condensed entity summary was constructed according to connections of RDF data. Then,keywords were located on the designated nodes of the summary graph by the OPS( object predicate subject) index. Top-k subgraphs connecting all keyword entities would be found by a bidirectional search algorithm.Finally,SPARQL queries were obtained by incorporating inter-entity relationships of top-k subgraphs,keywords and their properties,and SPARQL queries were executed by a SPARQL search engine. The experimental results showthat a faster response time and a higher accuracy than the existing ones are achieved.
21-1344/T
LIN Xiao-qing1,2, MA Zong-min1(1. School of Information Science & Engineering,Northeastern University,Shenyang 110819,China; 2. School of Information Engineering,Eastern Liaoning University,Dandong 118003,China.)
RDF(resource description framework); SPARQL; OPS(object
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PublicationTitle 东北大学学报(自然科学版)
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Publisher 东北大学 信息科学与工程学院,辽宁 沈阳 110819
辽东学院 信息工程学院,辽宁 丹东 118003%东北大学 信息科学与工程学院,辽宁 沈阳,110819
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Snippet 提出一种将关键词查询转换为SPARQL查询的方法来进行RDF数据的搜索.首先,根据RDF本身的关联特点,构建一个压缩实体摘要图;然后,借助关键词与所在实体的索引,将所查询的关键...
TP311.13; 提出一种将关键词查询转换为SPARQL查询的方法来进行RDF数据的搜索。首先,根据RDF本身的关联特点,构建一个压缩实体摘要图;然后,借助关键词与所在实体的索引,...
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SubjectTerms OPS索引
RDF
SPARQL
压缩实体摘要图
双向搜索
Title 基于压缩实体摘要图的RDF数据关键词查询
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