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Foundation of Keyword Search in XML

Foundation of Keyword Search in XML

Weidong Yang, Hao Zhu
Copyright: © 2013 |Pages: 16
ISBN13: 9781466619753|ISBN10: 1466619759|EISBN13: 9781466619760
DOI: 10.4018/978-1-4666-1975-3.ch001
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MLA

Yang, Weidong, and Hao Zhu. "Foundation of Keyword Search in XML." Design, Performance, and Analysis of Innovative Information Retrieval, edited by Zhongyu (Joan) Lu, IGI Global, 2013, pp. 1-16. https://doi.org/10.4018/978-1-4666-1975-3.ch001

APA

Yang, W. & Zhu, H. (2013). Foundation of Keyword Search in XML. In Z. Lu (Ed.), Design, Performance, and Analysis of Innovative Information Retrieval (pp. 1-16). IGI Global. https://doi.org/10.4018/978-1-4666-1975-3.ch001

Chicago

Yang, Weidong, and Hao Zhu. "Foundation of Keyword Search in XML." In Design, Performance, and Analysis of Innovative Information Retrieval, edited by Zhongyu (Joan) Lu, 1-16. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-1975-3.ch001

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Abstract

It has become desirable to provide a way of keyword search for users to query structured information in an XML database (data-centric retrieval) by combining database and information retrieval techniques. Therefore, the key challenges of keyword search in the XML database are how to define appropriate result models meeting user’s search intents, how to search the results by using efficient algorithms, and how to ranking the results. In this chapter, on one hand, the authors present the foundational knowledge of XML keyword search such as XML data models, XML query languages, inverted index, and Dewey encoding. On the other hand, some existing typical researches of keyword search in XML are presented, including the results models such as Smallest Lowest Common Ancestor (SLCA), Exclusive Lowest Common Ancestor (ELCA), Meaningful Lowest Common Ancestor (MLCA), the related search algorithms, and the ranking approaches.

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