黃青淵

In the knowledge economy Age, Knowledge management has become important key factors of enterprise success. ontology act as vital support role of knowledge management for facilitated knowledge integration、access、share and reuse. So building、management and maintenance ontology efficiently are importance of supporting knowledge management. The one of main problem of ontology are efficiently and accurately to learning and location to suitable store address. For this reason, In this thesis objective are (1) Designing a frameworks for Concept Feature-Based Ontology Learning, including Import of diversity entity knowledge、preprocess（Natural Language Process、Concepts extraction and Feature Annotation）、Learning and Location、Maintenance and User interface. (2) We according to framework to development of an Mechanism for Concept Feature-Based Ontology Learning and Maintenance through annotate out concept feature and feature constraint relations for concept learning. Finally, Find out Concept Location on the Is-A hierarchy from Location map. (3) We take a function of ontology maintenance Algorithms , including Insert、Merge and Delete. In our these result to be able to promotion efficiency and accuracy of ontology learning and maintenance. And then to carry out an objective of knowledge management and share.