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Authors: Wei Ding 1 ; Yongji Liu 1 and Jianfeng Zhang 2

Affiliations: 1 China Defense Science and Technology Information Center, China ; 2 National University of Defense Technology, China

Keyword(s): Ontology-Driven, Knowledge Management, Patent Library.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Management and Information Sharing ; Knowledge Management Projects ; Knowledge-Based Systems ; Symbolic Systems

Abstract: The introduction of the ontology-driven mechanism brings new opportunities for the knowledge management. In this paper, we describe the results of our continuing work, by researching on the structure design of the ontology-driven knowledge management system, and propose three stages in the system model, i.e., the knowledge acquisition, the knowledge organization and knowledge application. Based on the proposed model, we choose the technology novelty consulting system in our patent library as the platform to perform the patent knowledge management and the experiment results validate the feasibility and validation of our system model.

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Paper citation in several formats:
Ding, W.; Liu, Y. and Zhang, J. (2015). An Ontology-Driven Knowledge Management System Used in the Patent Library. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 248-253. DOI: 10.5220/0005638002480253

@conference{kmis15,
author={Wei Ding. and Yongji Liu. and Jianfeng Zhang.},
title={An Ontology-Driven Knowledge Management System Used in the Patent Library},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS},
year={2015},
pages={248-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005638002480253},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KMIS
TI - An Ontology-Driven Knowledge Management System Used in the Patent Library
SN - 978-989-758-158-8
IS - 2184-3228
AU - Ding, W.
AU - Liu, Y.
AU - Zhang, J.
PY - 2015
SP - 248
EP - 253
DO - 10.5220/0005638002480253
PB - SciTePress

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