Authors: Zheng Xu; Xiao Wei; Yunhuai Liu; Lin Mei; Chuanping Hu; Kim-Kwang Raymond Choo; Yiwei Zhu; Vijayan Sugumaran
Addresses: The Third Research Institute of the Ministry of Public Security, Shanghai, China ' Shanghai Institute of Technology, Shanghai, China ' The Third Research Institute of the Ministry of Public Security, Shanghai, China ' The Third Research Institute of the Ministry of Public Security, Shanghai, China ' The Third Research Institute of the Ministry of Public Security, Shanghai, China ' Information Systems and Cyber Security, The University of Texas at San Antonio, TX 78249, USA; School of Information Technology & Mathematical Sciences, University of South Australia, Adelaide, Australia ' Zhejiang Business Technology Institute, Ningbo, China ' Department of Decision and Information Sciences, Oakland University, Rochester, Michigan, USA
Abstract: As the web enters Big Data age, users and search engines may find it more and more difficult to effectively use and manage such big data. This paper proposes a method based on user tasks to perceive user intent, the meaningful user intent can be separated, and the elusiveness of user intent can be solved. One more thing, the method based on user task can predict the user behaviour to some extent. The main work of this paper is to propose such a concept space to fit the above features and the method to build the concept space on a large text database. We propose a new search pattern termed as ExNa, which can be incorporated into search engines to support more efficient search with better results. We conduct experimental studies upon a prototype search engine (KNOWLE), so as to evaluate the validity and performance of our proposed ExNa mechanism.
Keywords: search patterns; user profiles; web search engines; semantic web; conceptual semantic space; modelling; big data; concept space; user intent; user tasks; user behaviour.
International Journal of Web and Grid Services, 2016 Vol.12 No.3, pp.328 - 347
Received: 30 Nov 2015
Accepted: 02 Jun 2016
Published online: 14 Sep 2016 *