CCReSD: concept-based categorisation of Hidden Web databases. (15th November 2007)

• Record Type: Journal Article
• Authors: Hedley, Yih-Ling; Younas, Muhammad; James, Anne
• Is Part Of: International journal of high performance computing and networking. Volume 5:Number 1/2(2007)
• Page Start: 24
• Page End: 33
• Publication Date: 2007-11-15
• Subjects: hidden web databases -- database categorisation -- information extraction -- information retrieval -- subject categories; High performance computing -- Periodicals; Computer networks -- Periodicals; High performance computing; Periodicals; 004.05
• Languages: English
• ISSNs: 1740-0562

Abstract

Hidden Web databases dynamically generate results in response to users' queries. The categorisation of such databases into a category scheme has been widely employed in information searches. We present a Concept-based Categorisation over Refined Sampled Documents (CCReSD) approach that effectively handles information extraction, summarisation and categorisation of such databases. CCReSD detects and extracts query-related information from sampled documents of databases. It generates terms and frequencies to summarise database contents. It also generates descriptions of concepts from their coverage and specificity given in a category scheme. We conduct experiments to evaluate our approach and to show that it assigns databases with more relevant subject categories.