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Research on Ontology-based Concept Distinction in NlU and Its Application in Artificial Intelligence Instrument Design
Author: ZhaoLiang
Tutor: ZhaoKe
School: Xi'an University of Electronic Science and Technology
Course: Measuring Technology and Instruments
Keywords: Natural Language Understanding Concept ontology Conceptual entity Conceptual distinction
CLC: TP216
Type: Master's thesis
Year: 2011
Downloads: 26
Quote: 0
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Abstract
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Natural Wu speech understanding, the distinction between the concept plays an important role. Were studied based on the concept of ontology, and is applied to requirement analysis in the field of intelligent instrument design, through natural Wu language form to express the user needs to carry on the analysis and understanding, to analyze and understand the results into the design requirements, has obtained certain achievement. This paper determines the natural Wu speech understanding in the field of concept to distinguish the main contents and difficulties. In natural Wu speech understanding are introduced commonly used knowledge representation methods, according to the characteristics of the concept to distinguish, is put forward based on the ontology, conceptual dependency theory as the core, and reflect on the forms framework structure for the relations between concepts of a knowledge representation method. And then discusses the concept of ontology in Wu speech phenomenon, concepts, symbols, concepts, relations between and among different entities. Wu righteousness analysis for large Wu material based on the concept of domain oriented theory on the basis of the concept of domain ontology distinction between method and theory, the concept of domain oriented entities to distinguish method, and based on the rules of natural Wu speech understanding to implement in the system. Finally, the field of understanding the concept of the system to distinguish natural Wu words method is applied to the intelligent instrument design expert system. The system can use natural Wu word forms for human interaction and analysis of user needs.
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Automatic testing equipment,instruments
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