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
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;
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
DOI :
10.1109/ICCIC.2014.7238549