DocumentCode :
1737691
Title :
A general ontology based multi-lingual multi-function multimedia intelligent system
Author :
Ren, Fuji ; Shi, Hongchi
Author_Institution :
Fac. of Inf. Sci., Hiroshima City Univ., Japan
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2362
Abstract :
A large variety of information processing applications deal with natural language texts. Many of these applications require extracting and processing the meanings of natural language texts, in addition to processing their syntactic forms. In order to extract meanings from texts and manipulate them, a natural language processing system must have a significant amount of knowledge about the world and the domain of discourse. However, different kinds of knowledge are required for different languages, for different functions, and for different media. We design a new general ontology based natural language processing system referred to as the multi-lingual multi-function multimedia intelligent system (MMM-IS). MMM-IS is a complex system with multiple functions that can deal with multiple languages and multiple media. The general ontology consists of a static layer and a dynamic layer, and provides a real world knowledge model for the natural language processing system. The paper presents the concept of MMM-IS and how to build MMM-IS for real applications
Keywords :
knowledge based systems; knowledge engineering; multimedia computing; natural languages; dynamic layer; general ontology based multilingual multi-function multimedia intelligent system; meaning extraction; natural language texts; real world knowledge model; static layer; syntactic forms; Data mining; Information processing; Information systems; Intelligent systems; Knowledge management; Multimedia systems; Natural language processing; Natural languages; Ontologies; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
ISSN :
1062-922X
Print_ISBN :
0-7803-6583-6
Type :
conf
DOI :
10.1109/ICSMC.2000.884344
Filename :
884344
Link To Document :
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