PODWIS: a personalized tool for ontology development in domain specific web information system

Authors:
Lv-an Tang;Hongyan Li;Zhiyong Pan;Shaohua Tan;Baojun Qiu;Shiwei Tang;Jianjun Wang
Affiliations:
National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China;National Laboratory on Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China
Venue:
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Year:
2005

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Abstract

Complex structure and varying requirements increase the difficulties in developing domain specific Web Information Systems. People appeal to a smart tool to customize Web Information Systems automatically. To achieve that goal, this article makes following contributions: (1) Proposes the concept of Web Information System ontology to express the integrated domain semantics and maintain their relationships as a hierarchal structure; (2) Implements the Personalized tool for Ontology Development in domain specific Web Information System(PODWIS) with algorithms for (a) leaning the user's behaviors while building the ontology, (b) mining the repeated contents and composing reusable components, (c) guiding developer's work efficiently with high quality; (3)Designs two different self-learning strategies: online learning and offline learning to meet different situations; (4) Gives a semi-automatic tool to generate the personalized information system(includes user interface, operations and database access) based on ontology; (5)Shows the feasibility of this technique in practical application.