DocumentCode
3579345
Title
Review on keyword searching techniques in uncertain graph data
Author
Zambare, Nikita B. ; Manekar, Swati
Author_Institution
Dept. of Computer Science & Engg, G. H. Raisoni College of Engg., Nagpur (M.S), India
fYear
2014
Firstpage
1
Lastpage
3
Abstract
Searching for Keywords is an impulsive procedure for searching useful and relevant data from various sources like documents, graphs, relational databases, texts etc. The Uncertain Graph Data are widely used in real life applications. Uncertain Graphs pervasively exist in real applications, where data frequently exhibit uncertainties. Because of presence of uncertainty, it is a critical task for keyword searching on Uncertain Graph Data. Sometimes Keyword Searching phenomenon provides improper underlying results. Techniques discussed in this paper help to cover all these issues. Effective results are provided with the employed methods. This survey is done to decide which keyword searching technique is appropriate to derive the perfect results. These techniques prove to be very invoking to non-expert users in real applications.
Keywords
Keyword search; Uncertain graph; algorithm; databases; graph data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-3974-9
Type
conf
DOI
10.1109/ICCIC.2014.7238549
Filename
7238549
Link To Document