Title :
A Conceptual Network Based Modeling Framework for Semantic Representation of Chinese News
Author :
Zhao, Yiqiang ; Zeng, Junfang ; Yang, Yiping ; Chen, Lin
Author_Institution :
Res. Center of Integrated Inf. Syst., CAS, Beijing
Abstract :
This paper provides a novel framework for semantic representation of Chinese news based on conceptual network which is described hierarchically in three layers. we first define the structure of independent concept that is the basic element of the framework. Then the domain specific semantic unit called knowledge node is illustrated. Finally, the knowledge tree which gives a well formed semantic hierarchy is discussed. An example on Chinese economic news is used through this paper to illustrate the intrinsic mechanism of this framework. The proposed framework can be used to express the semantic information of the concepts and their relations in Chinese news for further processing.
Keywords :
knowledge representation; natural language processing; Chinese news; conceptual network based modeling; knowledge node; knowledge tree; semantic representation; Automation; Computer networks; Information systems; Learning systems; Logic; Morphology; Natural language processing; Natural languages; Performance analysis; Research and development; Chinese news; Conceptual Network; framework; semantic representation;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.27
