福州大学学报（自然科学版）2017，Vol.45Issue(6)：822-828,845,8.DOI:10.7631/issn.1000-2243.2017.06.0822
结合本体子图的RDF数据关键词分布式搜索
Keyword distributed search with ontology subgraph over RDF data
摘要
Abstract
Existing RDF query method can not meet the keyword search requirement over increasing massive RDF data, thus this paper proposes keyword distributed search with ontology subgraph ( KDSOS) algorithm which supports keyword search over large-scale RDF in a distributed platform. The algorithm first builds ontology sub-graph set for query keywords using RDF ontology and sorts by score function, and then preferentially searches result sub-graph of higher score ontology sub-graph on RDF data graph until find Top-k results. The result of experiment shows that KDSOS algorithm has obvious advantages both on query performance and accuracy.关键词
资源描述框架/关键词搜索/本体/MapReduceKey words
RDF/keyword search/OWL/MapReduce分类
信息技术与安全科学引用本文复制引用
陈双,汪璟玢..结合本体子图的RDF数据关键词分布式搜索[J].福州大学学报（自然科学版）,2017,45(6):822-828,845,8.基金项目
国家自然科学青年基金资助项目(61300104) （61300104）
福建省科技拥军基金资助项目(JG2015001) （JG2015001）
福州大学科技发展基金资助项目( 2013-XQ-32) （ 2013-XQ-32）
福建省自然科学基金资助项目( 2012J01168) （ 2012J01168）
