Ontology Matching in Context-driven Collaborative Recommending Systems

Alexander Smirnov, Alexey Kashevnik, Nikolay Shilov


The paper proposes an approach to building a context-driven collaborative recommending system, and concentrates on the ontology matching algorithm and ontology alignment patterns. The designed collaborative recommendation system is based on application of such technologies as user and group profiling, context management, decision mining. It enables for self-organisation of user groups in accordance with changing user profiles and the current situation context. Utilizing of the developed ontology alignment patterns considerably accelerates the ontology fusion and matching processes due to typification of fusion and alignment schemes.


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Paper Citation

in Harvard Style

Smirnov A., Kashevnik A. and Shilov N. (2012). Ontology Matching in Context-driven Collaborative Recommending Systems . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012) ISBN 978-989-8565-31-0, pages 139-144. DOI: 10.5220/0004126801390144

in Bibtex Style

author={Alexander Smirnov and Alexey Kashevnik and Nikolay Shilov},
title={Ontology Matching in Context-driven Collaborative Recommending Systems},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)
TI - Ontology Matching in Context-driven Collaborative Recommending Systems
SN - 978-989-8565-31-0
AU - Smirnov A.
AU - Kashevnik A.
AU - Shilov N.
PY - 2012
SP - 139
EP - 144
DO - 10.5220/0004126801390144