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XTEngine: A Twin Search Engine for XML

XTEngine: A Twin Search Engine for XML

Kamal Taha
Copyright: © 2011 |Pages: 40
ISBN13: 9781609605216|ISBN10: 1609605217|EISBN13: 9781609605223
DOI: 10.4018/978-1-60960-521-6.ch009
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MLA

Taha, Kamal. "XTEngine: A Twin Search Engine for XML." Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches, edited by Keng Siau, IGI Global, 2011, pp. 174-213. https://doi.org/10.4018/978-1-60960-521-6.ch009

APA

Taha, K. (2011). XTEngine: A Twin Search Engine for XML. In K. Siau (Ed.), Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches (pp. 174-213). IGI Global. https://doi.org/10.4018/978-1-60960-521-6.ch009

Chicago

Taha, Kamal. "XTEngine: A Twin Search Engine for XML." In Theoretical and Practical Advances in Information Systems Development: Emerging Trends and Approaches, edited by Keng Siau, 174-213. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-521-6.ch009

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Abstract

There has been extensive research in XML Keyword-based and Loosely Structured querying. Some frameworks work well for certain types of XML data models while fail in others. The reason is that the proposed techniques overlook the context of elements when building relationships between the elements. The context of a data element is determined by its parent, because a data element is generally a characteristic of its parent. Overlooking the contexts of elements may result in relationships between the elements that are semantically disconnected, which lead to erroneous results. We present in this chapter a context-driven search engine called XTEngine for answering XML Keyword-based and Loosely Structured queries. XTEngine treats each set of elements consisting of a parent and its children data elements as one unified entity, and then uses context-driven search techniques for determining the relationships between the different unified entities. We evaluated XTEngine experimentally and compared it with three other search engines. The results showed marked improvement.

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