DocumentCode :
710166
Title :
Enabling generic keyword search over raw XML data
Author :
Agarwal, Manoj K. ; Ramamritham, Krithi
Author_Institution :
Dept. of Comput. Sci. & Eng., IIT Bombay, Mumbai, India
fYear :
2015
fDate :
13-17 April 2015
Firstpage :
1496
Lastpage :
1499
Abstract :
Classical XML keyword search based on the Lowest Common Ancestor (LCA) framework requires users to be well versed with data and semantic relationships between the query keywords to extract meaningful response, restricting its applicability. GKS (Generic Keyword Search), on the other hand, allows users to browse and navigate XML data without such constraints. GKS enables discovery of deeper insights (DI) in the XML data, found in the context of the search results. Such insights not only expose patterns hidden in the search results but also help users tune their queries, thus enabling the navigation of complex XML repositories with ease. We further show how, for a search query, different insights can be discovered from the data by varying a single parameter.
Keywords :
XML; query processing; GKS; XML data; XML keyword search; complex XML repositories; deeper insights; generic keyword search; lowest common ancestor; search query; Engines; Indexes; Keyword search; Navigation; Semantics; XML; Analytics; Information Retrieval; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ICDE.2015.7113410
Filename :
7113410
Link To Document :
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