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Research of Main Technologies of Vertical Search Engine

Author: FangJiaPei
Tutor: HuangZhan
School: Jinan University
Course: Computer System Architecture
Keywords: Vertical search engine Reptile theme Single category document classification Web purification Web Information Extraction
CLC: TP391.3
Type: Master's thesis
Year: 2010
Downloads: 213
Quote: 4
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Abstract


With the explosion of information on the Internet growing generic search engine is difficult to meet specific user \This paper studies the vertical search engine major techniques : Subject crawler technology , web purification technology and information extraction technology . First, we design a document classification based on a single theme category reptiles , and one class document classification algorithm prototype algorithm is improved using the least squares method to solve the optimal solution of the prototype vectors , thereby improving the classification accuracy of the prototype algorithm ; experiment prove our algorithm was the prototype to improve the classification accuracy. Second, this paper also proposes two models based DIV_DOM Web purification algorithm , namely model based DIV_DOM purification algorithm and heuristic web template pages purification DIV tree algorithm ; and purification technology used in these two pages in the Reptile theme subject to evaluate their impact on the performance of reptiles ; experiment proved the latter is on the site has better purification effect . Finally, the proposed model is based DIV_DOM purification algorithm based on web pages , this paper proposes an alternative DOM-based web structured information extraction technology , and use inductive learning algorithm to automatically learn extraction rules ; experiment proved that the information extraction algorithm effectiveness .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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