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
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;
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
DOI :
10.1109/ICICISYS.2009.5358128