DocumentCode :
591052
Title :
Expertise identification and visualization
Author :
Naz, Sabiha ; Naeem, M. ; Afzal, Muhammad Tanvir ; Qayyum, Amna
Author_Institution :
Res. in Networks & Telecom (CoReNeT), M.A. Jinnah Univ., Islamabad, Pakistan
fYear :
2012
fDate :
27-29 Aug. 2012
Firstpage :
16
Lastpage :
20
Abstract :
Visual analysis of knowledge expertise is becoming an emerging field due to its vital and essential importance of discovering both expertise and experts in practical applications. There are numerous visualization techniques which can identify the knowledge domains of research groups and communities. In this paper, we visualize and identify the expertise of an individual author based on the analysis of the author´s profile and its available information in DBLP databases. We have presented an approach to analyze both knowledge domains of individual authors as well as topic wise experts. In order to validate and comparison, we use the Gephi visualization tool to observe what is similar (comparison) or difference (contrast) between our proposed methodology and Gephi.
Keywords :
data mining; data visualisation; distributed databases; expert systems; DBLP database; Gephi visualization tool; author profile; expertise identification; expertise visualization; knowledge domain; knowledge expertise; visual analysis; visualization technique; Algorithm design and analysis; Data visualization; Economics; Manuals; Reliability engineering; Reliability theory; Visualization; Expertise finder; SVG; domain knowledge; information analysis and visualization; knowledge discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing and Networking Technology (ICCNT), 2012 8th International Conference on
Conference_Location :
Gueongju
Print_ISBN :
978-1-4673-1326-1
Type :
conf
Filename :
6418340
Link To Document :
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