Comprehensive Study on Keyword Search on Semi Structured Data
Keyword search is a user-friendly approach that enables inexperienced users to easily retrieve information from XML data with no specific knowledge of complex structured query language. Since an XML document can have a large size and contain a lot of information, an XML keyword search result should be a fragment of an XML document dynamically constructed at query time, which is achievable due to the structuredness of XML. Processing keyword searches on XML has several challenges, e.g., what are the elements in the XML document that are relevant to the query? How to generate the results efficiently and rank the results meaningfully? How to present the results to the user in a way such that the user can quickly find the desired information? In this survey, the authors review the papers in the literature that attempted to address these problems. The authors divide the existing approaches into several classes based on the problem they tackled, and perform a comprehensive analysis of these works.
Year of publication: |
2016
|
---|---|
Authors: | Dayananda P. ; Sowmyarani C. N. |
Published in: |
International Journal of Knowledge Society Research (IJKSR). - IGI Global, ISSN 1947-8437, ZDB-ID 2703513-X. - Vol. 7.2016, 3 (01.07.), p. 62-85
|
Publisher: |
IGI Global |
Subject: | Keyword Search | LCA Semantics | Lowest Common Ancestor | Semi Structured Data | XML |
Saved in:
Online Resource
Saved in favorites
Similar items by subject
-
Google econometrics and unemployment forecasting
Askitas, Nikolaos, (2009)
-
Google econometrics and unemployment forecasting
Askitas, Nikolaos, (2009)
-
'Google it!' Forecasting the US unemployment rate with a Google job search index
D'Amuri, Francesco, (2010)
- More ...