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Implementation and Optimization of Nutch-based Search Engine for Agricultural Information

Author: LiLei
Tutor: OuYangJiHong
School: Jilin University
Course: Computer Software and Theory
Keywords: Knowledge Grid Search engine Nutch
CLC: TP391.3
Type: Master's thesis
Year: 2011
Downloads: 104
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Abstract


With the continuous development of Internet technology, knowledge, resources on the network show explosive growth, and how to regulate these resources effectively share and manage Internet key issues facing the next generation of Web research directions. In view of this situation, the knowledge grid technology came into being. Knowledge Grid research goal is effective sharing and management platform is built on knowledge, information, and resources on the basis of the next generation of Web. Agricultural Information based on the open source search engine Nutch search engine system, the improvement and optimization of the inadequacies of the system. This work belongs to the national 863 project \resources. The specific content of this article: (1) introduces the research background, purpose and meaning, and outlines some of the research results of the search engine optimization. (2) Details of the background knowledge. Including a detailed description of the overall architecture of the open source search engine Nutch search engine works and architecture depth analysis to explore. (3) the agricultural information search engine. In-depth understanding of the basis of search engine technology, agricultural development based on the open source search engine Nutch search engine system. (4) for some of the inadequacies of the system improvement and optimization. First, the parsing module of the page improved. In this paper, based on the STU-DOM tree the subject of the page information extraction method in web resolution based on the non-topic information node filtering based on semantic attribute values. Second, the summary of the extraction module improvements. In the automatic summary extraction methods based on statistical, add the text features to determine the sentence right from the word frequency and sentence patterns, suggesting words weight finer assignment. Third, the query expansion module to achieve. We build the agricultural domain ontology, and on this basis, Jena inference engine query search keywords in the ontology corresponding subclass, synonyms, and instance, and as the search word. This paper the development of the agricultural information search engine as the main function modules of the system of digital agriculture knowledge grid \Also the effect before and after improvement are compared. Comparison, we found that many of the search results page of the portal type containing a large number of linked pages are filtered out, and more based on text-based pages, users can directly derive information; improved summary extraction module to extract a summary of the content is more fulfilling than ever before, a higher degree of matching of the summary of the content and subject of the page; query expansion module provides a search-related word search word has a certain semantic relations, provides a way for the user's precise search.

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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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