Title: Ontology matching in collaborative recommendation system for PLM

Authors: Alexander Smirnov; Nikolay Shilov

Addresses: St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St. Petersburg, 199178, Russia; University ITMO, 49, Kronverkskiy pr., St. Petersburg, 197101, Russia ' St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St. Petersburg, 199178, Russia

Abstract: Collaboration between different groups of PLM users requires taking into account all their preferences simultaneously, satisfying both the individuals and the groups. Collaborative recommendation systems are aimed to solve this problem. In this paper, a reference model of a collaborative recommendation system for PLM is proposed. It is based on such technologies as group profiling, context management, web services, and decision mining. Integration of different PLM network members requires semantic interoperability support. This is done via development of the multi-model method of ontology matching. Besides, utilising the developed ontology alignment patterns considerably accelerates the knowledge fusion and ontology matching processes due to typification of fusion and alignment schemes. The usage of some elements of the proposed system is illustrated on the example of an industrial company.

Keywords: collaborative recommendation systems; PLM networks; ontology management; ontology matching; recommender systems; group profiling; context management; web services; decision mining; product lifecycle management; ontology alignment patterns; knowledge fusion; collaboration.

DOI: 10.1504/IJPLM.2013.063210

International Journal of Product Lifecycle Management, 2013 Vol.6 No.4, pp.322 - 338

Received: 27 May 2013
Accepted: 25 Feb 2014
Published online: 26 Jul 2014 *

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