Scalable information extraction for web queries. (27th December 2010)

• Record Type: Journal Article
• Authors: Hsu, Meichun; Xiong, Yuhong
• Is Part Of: International journal of computational science and engineering. Volume 5:Number 3/4(2010)
• Page Start: 176
• Page End: 184
• Publication Date: 2010-12-27
• Subjects: web mining -- parallel computing -- classification -- information extraction -- focused crawling -- web queries -- information retrieval -- web search -- vertical search portals -- online courses; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

The dominant way to find information on the web nowadays is through search. General search engines are very effective, but search phrases and results are unstructured and that limits a user's ability to further automate the processing of the search results. In recent years, we have seen efforts to build systems that support more precise query on the web for certain content verticals. We describe the general problems for building an extensible web query system and present one of our projects in this area – a vertical search portal for online courses.