首页    期刊浏览 2024年11月09日 星期六
登录注册

文章基本信息

  • 标题:Geography Ontology Used to Improve Semantic Information Retrieval
  • 本地全文:下载
  • 作者:Chetna Devkar ; Preeti Jain
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:5992-5994
  • 出版社:TechScience Publications
  • 摘要:The aim of this semantic based ontology search using Fuzzy C means clustering base retrieval replica is to give enhanced search potential which acquiesce a qualitative development superior than keyword-based full-text search by begin and develop better grained domain ontologies. Our technique can be seen as an progress of the typical wherever keyword-based index are reserve by an ontology-based, knowledge based. In this study expand a reliable algorithm on this basis, acquiescent assessable development with reverence to keyword-based search. We have obtainable a generic technique for mapping queries in a user language into an expressive logical language and the respond of queries with FCM Clustering algorithm based semantic search.
  • 关键词:Fuzzy C means clustering; domain ontologies;RDF data; fuzzy ontology
国家哲学社会科学文献中心版权所有