Ontology-based Integration of Web Navigation for Dynamic User Profiling
作者: Anett HOPPEAna ROXINChristophe NICOLLE
刊名: Informatică economică, 2015, Vol.19 (1), pp.10-24
来源数据库: Directory of Open Access Journals
DOI: 10.12948/issn14531305/19.1.2015.01
关键词: Semantic WebOntologiesSWRLBig Data reasoning
原始语种摘要: The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an industrial actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profil-ing application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification of current tendencies as well as the prediction of possible future interests, as far as they are...
全文获取路径: DOAJ  (合作)

  • 可推断的 隐含的
  • information 报告
  • development 开发
  • Web 
  • based 基于
  • scientific 科学
  • research 
  • knowledge 知识
  • improved 改进
  • implicit 隐含的
  • deducible 隐含的