relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/108/
title: Concept Learning for Description Logic-Based Information Systems
creator: Tran, Thanh Luong
creator: Ha, Quang Thuy
creator: Hoang, Thi Lan Giao
creator: Nguyen, Linh Anh
creator: Nguyen, Hung Son
creator: Szalas, Andrzej
subject: Information Technology (IT)
description: 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.
date: 2012-08-17
type: Conference or Workshop Item
type: PeerReviewed
identifier:   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.