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Tourism Emergency Event Information Searching and Acquisition Based on Web

Author: LiRuLiang
Tutor: DuJunPing
School: Beijing University of Posts and Telecommunications
Course: Computer Science and Technology
Keywords: Web crawler Information Retrieval Chinese word segmentation Information Extraction Travel emergencies
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 240
Quote: 1
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Abstract


With the improvement of the increasing strength of the national economy and the ability of China's consumer, the tourism industry has been rapid development. However, due to the travel involves a wide range of uncertainties, passenger travel safety issues are difficult to control. In order to change the status of the current travel safety, it is necessary to travel emergencies mode analysis, forecasting, early warning and intelligent decision to travel emergencies. Travel emergencies, however, the information is scattered, difficult to collect, and a wide variety. Travel emergencies within a relatively short period of time to get instant information is a key issue solved. The paper travel emergencies Web-based information search and access to technology. The papers completed work as follows: (1) research network the reptiles technology, the Chinese word web information extraction technology, data indexing technology and structured storage technology, and they were optimized and customized. The web crawler search strategy to increase search early information filtering; modify the priority specific information search efficiency of the search of the network address. Through the above improvements to improve web crawler search efficiency. (2) to achieve vertical search engine for travel emergencies. Specific information extraction specific web search for travel emergencies, complete travel emergencies, complete incident information collection and structured treatment. The system can effectively extract the information of a specific incident. (3) the logical object attributes backfill technology travel emergencies structured data extraction method. Using the first method of classification extracted. Emergency first classification the backfill operation of each property, and then based on the object type of the incident. This method can effectively extract the the various incidents object to improve the accuracy of the information extraction. (4) to achieve a the travel incident data query system. Information to create the inverted index pages of travel emergencies related index, and extract the text. Completed a custom query for specific emergencies attributes query and travel emergencies. Through Web-based travel emergency information search and access to technology research to achieve automatic acquisition system based on web tourism emergency network information search and information, has laid a good next step of data mining and prediction and warning systems foundation.

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