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Concept Learning for Description Logic-Based Information Systems

Tran, Thanh Luong and Ha, Quang Thuy and Hoang, Thi Lan Giao and Nguyen, Linh Anh and Nguyen, Hung Son and Szalas, Andrzej (2012) Concept Learning for Description Logic-Based Information Systems. In: 2012 Fourth International Conference on Knowledge and Systems Engineering (KSE), 17-19 August 2012, Danang, Vietnam.

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The work [1] by Nguyen and Szalas is a pioneering one that uses bisimulation for machine learning in the context of description logics. In this paper we generalize and extend their concept learning method [1] for description logic-based information systems. We take attributes as basic elements of the language. Each attribute may be discrete or numeric. A Boolean attribute is treated as a concept name. This approach is more general and much more suitable for practical information systems based on description logic than the one of [1]. As further extensions we allow also data roles and the concept constructors "functionality" and "unquantified number restrictions". We formulate and prove an important theorem on basic selectors. We also provide new examples to illustrate our approach.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Educational institutions;Electronic mail;Information systems;Knowledge based systems;Machine learning;Standards;Boolean functions;bisimulation equivalence;information systems;learning (artificial intelligence);Boolean attribute;bisimulation;concept constructor;concept learning method;concept name;data role;description logic-based information system;discrete attribute;functionality;machine learning;numeric attribute;unquantified number restriction;bisimulation;concept learning;description logic;machine learning;
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Key Laboratory for Smart Integrated Systems (SISLAB)
Depositing User: Prof. Xuan-Tu Tran
Date Deposited: 03 Jan 2013 03:57
Last Modified: 13 Jan 2017 02:14

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