DocumentCode
2767842
Title
A New Semantic Representation Model for the Elements of News
Author
Zhao, Yiqiang ; Zeng, Junfang ; Yang, Yiping
Author_Institution
Res. Center of Integrated Inf. Syst., Chinese Acad. of Sci., Beijing, China
Volume
7
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
462
Lastpage
467
Abstract
A novel semantic representation model based on Concepts and Knowledge Trees for the elements of news is described in this paper. The theoretical foundations about Concepts and Knowledge Trees are introduced briefly first. Then the key points of representing the semantic information of the four main news elements using the given model are explained respectively. Both advantages and disadvantages of the model are discussed from theoretical and practical view.
Keywords
information resources; knowledge representation; natural language processing; Concepts Trees; Knowledge Trees; natural language processing; news elements; semantic information representation; semantic processing; semantic representation model; Algorithm design and analysis; Automation; Data mining; Databases; Fuzzy systems; Information systems; Knowledge representation; Large-scale systems; Natural language processing; Natural languages;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.254
Filename
5360053
Link To Document