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Crowdsourcing-Based Multi-Layer Automated Ontology Matching: An approach and Case Study

Authors:
Alexander Smirnov
Nikolay Shilov
Nikolay Teslya
Alexey Kashevnik

Keywords: ontology; ontology-matching; crowdsourcing; robots; interoperability

Abstract:
This paper presents an approach and a case study for a multi-layer automated ontology matching based on the crowdsourcing technique. The main idea of our approach is that ontology matching is implemented automatically at first. In the case of non-adequate matching, the crowdsourcing technique is invoked, that involves crowd participants into the matching process. As a case study, the scenario of robot interaction is considered. The developed ontology matching approach allows providing for semantic interoperability between the robots for joint tasks solving.

Pages: 74 to 79

Copyright: Copyright (c) IARIA, 2015

Publication date: October 11, 2015

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-437-4

Location: St. Julians, Malta

Dates: from October 11, 2015 to October 16, 2015