DocumentCode
591924
Title
KeaKAT: An Online Automatic Keyphrase Assignment Tool
Author
Irfan, Rizwana ; Khan, Sharifullah ; Khan, Iqbal A. ; Ali, M.A.
Author_Institution
Sch. of Electr. Eng. & Comput. Sci. (SEECS), Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
30
Lastpage
34
Abstract
Kea++ is a well known tool for assigning key phrases to documents. But Kea++ contains noise and irrelevant terms in the key phrase result set. The extended refinement methodology was developed to fine tune the results of Kea++ for multiple domains. However using Kea++ and its refinement as a system for assigning key phrases to documents is not simple for users of a domain other than computing. The system needs to be installed and configured. It does not have any GUI to facilitate users in assigning key phrases. The objective of the Kea KAT is to develop a web-based key phrase assignment tool to facilitate users in assigning relevant key phrases to their documents online. Kea KAT saves users not only from installing and configuring the system, but also improves the usability of the system.
Keywords
Internet; document handling; Kea++; KeaKAT; Web-based key phrase assignment tool; documents; extended refinement methodology; key phrase result set; online automatic keyphrase assignment tool; Graphical user interfaces; Taxonomy; Training; Usability; Vocabulary; XML; Keyphrase assignment; classification system; information extraction; usability;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers of Information Technology (FIT), 2012 10th International Conference on
Conference_Location
Islamabad
Print_ISBN
978-1-4673-4946-8
Type
conf
DOI
10.1109/FIT.2012.14
Filename
6424293
Link To Document