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Hadoop-based fault diagnosis Resources Distributed Information Retrieval System Design and Implementation

Author: XieZhaoLi
Tutor: ZhangHuiFuï¼›ChenAnHua
School: Hunan University of Science and Technology
Course: Computer Science and Technology
Keywords: Mechanical Fault Diagnosis Distributed Information Retrieval Search Engine Hadoop Nutch
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 137
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Abstract


Information retrieval is to return from the collection of documents relevant information to meet user needs in the process . The search engine is a successful application of information retrieval , to provide users with fast, accurate, comprehensive information about when the new mass Web navigation services. As people in the accuracy of the information , the depth and breadth of the demand increase , the search engine will be fine , personalized direction. Current research focus is the search engine vertical search , social search and mobile search . In this paper, the National Natural Science Foundation project \development of the engine , mechanical fault diagnosis knowledge management status quo. Studied the site collection, Web content analysis, indexing and query interface module search engines such as architecture and composition ; Boolean model of information retrieval system , vector space model and probabilistic models such as the definition of the main ideas , advantages and disadvantages ; Distributed Information Retrieval architecture and distributed information retrieval process . ( 2 ) study the Nutch Nutch workflow and the Chinese word segmentation principle ; Hadoop distributed computing framework , HDFS and MapReduce architecture computing processes. Presents a mechanical fault diagnosis based on Hadoop Distributed Information Retrieval System resource model . ( 3 ) the use of meta-search ideas designed for Baidu and Google search results in mechanical troubleshooting resources linked program , a plug-in using the Paoding Chinese word components of the system of Chinese word segmentation effect make improvements in the realization of the mechanical fault diagnosis resources vertical search capabilities. Experimental results show that the system can achieve a mechanical fault diagnosis search resources , better precision .

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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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