Research on the Theory and Methods for Similarity Calculation of Rough Formal Concept in Missing-Value Context*

DOI

10.2991/jimet-15.2015.49How to use a DOI?

Keywords

ontology; similarity; weighted attributes

Abstract

In this paper, for the low similarity computation accuracy of concept in the field of agriculture ontology mapping, formal concept analysis theory and rough set theory are introduced to similarity computation. Jointly considering attribute hierarchies in concept lattice, the semantic hierarchy of the concepts are weighted differently, and the theory and methods of similarity calculation of rough formal concept in missing-value context is given. Finally, similarity computing model is prospected. Experimental results show the model has a high computational accuracy.This template explains and demonstrates.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kai Wang
PY  - 2015/12
DA  - 2015/12
TI  - Research on the Theory and Methods for Similarity Calculation of Rough Formal Concept in Missing-Value Context*
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 263
EP  - 266
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.49
DO  - 10.2991/jimet-15.2015.49
ID  - Wang2015/12
ER  -