摘要
语义网数据的关键词查询是语义网研究的一个重要问题。首先给出语义网数据关键词查询的相关定义。根据研究目标不同,将已有解决方案分为混合型和非混合型的语义网数据关键词查询,后者又分为K-A和K-Q-A两种查询方法。调研了上述分类中当前常用的解决方案和研究进展。在此基础上,进一步介绍并比较了8个具有代表性的语义网数据关键词查询工作。最后讨论存在的挑战,并指出未来可能的研究方向。
The growth of the Semantic Web has seen a rapid increase in the amount of RDF data.Meanwhile,the demand for access to RDF data without detailed knowledge of RDF query languages is increasing.In this paper,some definitions in terms of keywords-based search on Semantic Web data were firstly presented.Then,a large number of popular existing solutions were surveyed according to hybrid and non-hybrid style（including K-A means and K-Q-A means）.In addition,eight representative systems were introduced and compared with each other based on different facets,and their unique features were highlighted in details.Finally,some remaining challenges were discussed,and some future research directions were pointed out.
出处
《计算机科学》
CSCD
北大核心
2011年第7期18-23,50,共7页
Computer Science
基金
国家自然科学基金(60973024)
江苏省自然科学基金(BK2008290)资助
