首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:Ontology Based Searching Meta Data Extraction
  • 本地全文:下载
  • 作者:S.Mohana Prakash ; S.Sathish Kumar ; R.Vaishnavi
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:3
  • 出版社:S&S Publications
  • 摘要:In present technology, the search queries returns a large set of results produced in the web page, and also searching a relevant result tends to be a tedious process for the user. The user is looking for something but the result produced will contain information from various dom ains. So the user needs to search for the exact re sult for a long time by surfing [1]. But the developer cant able to design the webpage as per the user point of view because each individual user can have different aspects so can't able to design as per th e user view. This will result in the increased time complexity. To overcome thi s problem, we use the concept annotation ( Web content extraction) by means of using ontology. That is, we depict the system that create and handle the collection of objects that is the user searching in web page can get annotate and find the searching methodology[7]. There are many approaches that process ontology according to semantic Web based upon the characteristic of ontology data on Web. We create the web ontology by u sing the language RDF (resource description framework) and OWL (Web ontology language). By creating the ontology model so as to use hierarchical vocabularies, we eliminate redundancy of an expression and reusability can be improved. Furthermore, by means o f this model will help to reduce the users search time and exact information will be retrieved based on the extraction of the information provided by the user in the webpage
  • 关键词:Annotation ; Web Ontology Language; Resource Description Framework; Sem ; antic; Web Ontology
国家哲学社会科学文献中心版权所有