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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.254
