DocumentCode :
568556
Title :
A Text Representation Method Based on Harmonic Series
Author :
Chen, Xue ; Wu, Chao
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
fYear :
2012
fDate :
25-27 June 2012
Firstpage :
1830
Lastpage :
1834
Abstract :
Text representation problem is one of the fundamental but most important issues in the areas of information processing and retrieval, and still a big challenge. From the perspective of cognitive psychology, this paper employs the ideas of the human cognitive process to the machine text understanding. And aiming at the structure of paper texts, we propose a cognition network model based on the Harmonic Series with the consideration of both key occurrence frequencies and occurrence locations. The proposed model is not only simple, but also effective and can be easily handled as RFID data in the Internet of Things.
Keywords :
Internet; cognitive systems; harmonics; information retrieval; psychology; radiofrequency identification; text analysis; Internet of Things; RFID data; cognition network model; cognitive psychology; harmonic series; human cognitive process; information processing; information retrieval; key occurrence frequencies; machine text understanding; occurrence locations; paper text structure; text representation method; Computers; Harmonic analysis; Humans; Internet; Radiofrequency identification; Semantics; XML; Cognition Network; Harmonic Series; Internet of Things; Text Representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2012 IEEE 11th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2172-3
Type :
conf
DOI :
10.1109/TrustCom.2012.60
Filename :
6296207
Link To Document :
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