DocumentCode
506680
Title
A new algorithm based on word co-occurrence and its application in domain concept extraction
Author
Xian-Ming, Yao ; Jian-Yi, Guo ; Zheng-tao, Yu ; Yi-Hao, Zhang ; Zhi-Kun, Zhang ; Cun-li, Mao
Author_Institution
Sch. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
Volume
3
fYear
2009
fDate
20-22 Nov. 2009
Firstpage
521
Lastpage
525
Abstract
This paper puts forward an algorithm named CFE (co-occurrence frequency emphasized) for new concept selection which based on word co-occurrence, it has been applied to domain concept extraction. This algorithm grasps the central idea of word co-occurrence rigidly. In the process of concept extracting, the co-occurrence frequency is taken as the basis of new concept selection, and the impact of absolute frequency to domain concept selection is taken into account. It is able to guarantee each candidate word will fairly get the opportunity of being selected as new concept. According to the data of the tests, a good result has been achieved.
Keywords
natural language processing; co-occurrence frequency emphasized algorithm; concept selection; domain concept extraction; word co-occurrence; Automation; Buildings; Data mining; Dictionaries; Frequency; Knowledge management; Knowledge representation; Ontologies; Proposals; Testing; Absolute Frequency; CFE; Co-occurrence Frequency; component; domain concept; word co-occurrence;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4754-1
Electronic_ISBN
978-1-4244-4738-1
Type
conf
DOI
10.1109/ICICISYS.2009.5358128
Filename
5358128
Link To Document