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Domain-specific Search Engine Based On TSE

Posted on:2009-08-09Degree:MasterType:Thesis
Country:ChinaCandidate:R HouFull Text:PDF
GTID:2178360245954676Subject:Computer software and theory
Abstract/Summary:
With the running up of Web information, Search Engine as a kind of new technology has been developed gradually. As we know, there is a huge difficulty for users to look for information in the vast"data ocean". So Search Engine is the perfect technology appearing in perfect time to solve the problem. It finds and collects the information by a certain device, then comprehends, abstracts, organizes and handles these information. So it acting likes an information navigator and takes more and more important responsibilities in netizens'daily life. Therefore, Search Engine technology has became a new studying and developing target in the industrial & academic field of computer science.The Domain-specific Search Engine has been an important research branch of information retrieval and achieved rapid development in recent years. However, there are still some issues need to be studied further for boosting its practical application and improving its effectiveness and efficiency. It is uncommon of History Search Engine in specific field in China present so this dissertation has a sort of value in Vertical Search Engine.TSE (Tiny Search Engine) is a tiny Search Engine model base on the Tianwang Search Engine which runs under the Linux operating system. It is an open-source software, developed by Dr. Yan Hongfei of the network lab of Peking University. The aim of TSE is providing a studying atmosphere for the people who want to study the Search Engine. But the TSE is a general Search Engine, so it is not doing well in some domain-specific search. It showed the deficiency in effectiveness and accuracy.This paper will add the specific field– History to the TSE system and adjust its Chinese segmentation and indexing. It includes:(1) Add specific History Wordlist to the original TSE Wordlist. (2) Improve the original TSE segmentation algorithm. (3) Change the related parameters of Webpage Crawling to make the TSE more suitable for Domain-specific Search.For the advantage in specific knowledge owes by the Ideal Technology Institute of Northeast Normal University, there will be 200 History files supplied by the institute as sample for testing. Comparing the results between the changing one and the original one to conclude a result-file and give the further studying suggestion.
Keywords/Search Tags:Domain-specific Search Engine, TSE, Segmentation, Indexing
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