Mining description logic concepts from relations based on concept lattices Online publication date: Tue, 21-Jun-2016
by Yuxia Lei; Feng Jiang; Juan Chen; Yonghua Han
International Journal of Collaborative Intelligence (IJCI), Vol. 1, No. 3, 2016
Abstract: In description logics (DLs), a concept C could be a set of some tuples or a subset of the domain of an attribute. This paper proposed a method for extracting descriptive concepts from a relation, which is based on formal concept analysis (FCA). FCA can be used to support the descriptive concept construction in domains of attributes. Our method can be described as follows: given a relation R and some conceptual partitions on domains of some attributes, by classify-based scaling, one can obtain a new relation R, and correspondingly obtain its concept lattice in which all concept extents are regarded as concepts in a set of tuples. By using these concepts in tuples, one can further construct concepts in domains of attributes. Conversely, one can further construct concepts in tuples. The paper also defined fuzzy concepts, and discussed the connections between fuzzy concepts and those in fuzzy description logics.
Online publication date: Tue, 21-Jun-2016
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Collaborative Intelligence (IJCI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com