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Review on Keyword Search and Ranking Techniques for Semi-Structured Data

Review on Keyword Search and Ranking Techniques for Semi-Structured Data
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Author(s): Dayananda P. (JSSATEB, India)and Sowmyarani C. N. (Rashtreeya Vidyalaya College of Engineering, India)
Copyright: 2019
Pages: 23
Source title: Knowledge-Intensive Economies and Opportunities for Social, Organizational, and Technological Growth
Source Author(s)/Editor(s): Miltiadis D. Lytras (Effat University, Saudi Arabia), Linda Daniela (University of Latvia, Latvia)and Anna Visvizi (Effat University, Saudi Arabia)
DOI: 10.4018/978-1-5225-7347-0.ch013

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Abstract

The size of semi-structured data is increasing continuously. Handling semi-structured data efficiently is a challenging task. Keyword search is an important task, and required information can be retrieved without having knowledge of data storage hierarchy. There are several challenges in handling XML data. This chapter discusses various challenges in terms of lowest common ancestor (LCA) semantics, processing of queries efficiently, retrieving top-k results for user needed data. The existing approach is defined under many classes based on how the problem and solution are tackled. Analysis of keyword search and ranking techniques for retrieving desired information are discussed in detail.

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