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Advanced metasearch engine technology

作者: Weiyi Meng; Clement T Yu
出版商: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, ©2011.
叢書: Synthesis digital library of engineering and computer science.; Synthesis lectures on data management, # 11.
版本/格式:   電子書 : 文獻 : 英語所有版本和格式的總覽
資料庫:WorldCat
提要:
Among the search tools currently on the Web, search engines are the most well known thanks to the popularity of major search engines such as Google and Yahoo! While extremely successful, these major search engines do have serious limitations. This book introduces large-scale metasearch engine technology, which has the potential to overcome the limitations of the major search engines. Essentially, a metasearch engine  再讀一些...
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詳細書目

類型/形式: Electronic books
其他的實體格式: Print version:
Advanced Metasearch Engine Technology.
Morgan & Claypool 2010
(OCoLC)401167990
資料類型: 文獻, 網際網路資源
文件類型: 網路資源, 電腦資料
所有的作者/貢獻者: Weiyi Meng; Clement T Yu
ISBN: 9781608451937 1608451933
OCLC系統控制編碼: 707877337
注意: Part of: Synthesis digital library of engineering and computer science.
Series from website.
描述: 1 online resource (x, 117 p.) : ill., digital file.
内容: 1. Introduction --
Finding information on the web --
Browsing --
Searching --
A brief overview of text retrieval --
System architecture --
Document representation --
Document-query matching --
Query evaluation --
Retrieval effectiveness measures --
A brief overview of search engine technology --
Special characteristics of the web --
Web crawler --
Utilizing tag information --
Utilizing link information --
Result organization --
Book overview. 2. Metasearch engine architecture --
System architecture --
Why metasearch engine technology --
Challenging environment --
Heterogeneities and their impact --
Standardization efforts. 3. Search engine selection --
Rough representative approaches --
Learning-based approaches --
Sample document-based approaches --
Statistical representative approaches --
D-WISE --
CORI Net --
gGLOSS --
Number of potentially useful documents --
Similarity of the most similar document --
Search engine representative generation. 4. Search engine incorporation --
Search engine connection --
HTML form tag for search engines --
Automatic search engine connection --
Search result extraction --
Semiautomatic wrapper generation --
Automatic wrapper generation. 5. Result merging --
Merging based on full document content --
Merging based on search result records --
Merging based on local ranks of results --
Round-robin based methods --
Similarity conversion based methods --
Voting based methods --
Machine learning based method. 6. Summary and future research --
Bibliography --
Authors' biographies.
叢書名: Synthesis digital library of engineering and computer science.; Synthesis lectures on data management, # 11.
責任: Weiyi Meng, Clement T. Yu.

摘要:

Among the search tools currently on the Web, search engines are the most well known thanks to the popularity of major search engines such as Google and Yahoo! While extremely successful, these major search engines do have serious limitations. This book introduces large-scale metasearch engine technology, which has the potential to overcome the limitations of the major search engines. Essentially, a metasearch engine is a search system that supports unified access to multiple existing search engines by passing the queries it receives to its component search engines and aggregating the returned results into a single ranked list. A large-scale metasearch engine has thousands or more component search engines. While metasearch engines were initially motivated by their ability to combine the search coverage of multiple search engines, there are also other benefits such as the potential to obtain better and fresher results and to reach the DeepWeb. The following major components of large-scale metasearch engines will be discussed in detail in this book: search engine selection, search engine incorporation, and result merging. Highly scalable and automated solutions for these components are emphasized. The authors make a strong case for the viability of the large-scale metasearch engine technology as a competitive technology for Web search.

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