Scalable information extraction for web queries Online publication date: Fri, 24-Dec-2010
by Meichun Hsu, Yuhong Xiong
International Journal of Computational Science and Engineering (IJCSE), Vol. 5, No. 3/4, 2010
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.
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