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Authors: David Hästbacka 1 ; Pekka Aarnio 2 ; Valeriy Vyatkin 2 and Seppo Kuikka 1

Affiliations: 1 Tampere University of Technology, Finland ; 2 Aalto University and School of Electrical Engineering, Finland

ISBN: 978-989-758-158-8

Keyword(s): Industrial Maintenance, Knowledge Management, System Integration, Semantic Web, Contextual Reasoning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Enterprise Information Systems ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: Industrial maintenance is a complex discipline requiring experience and know-how. Information such as maintenance work orders are usually provided through mobile devices to field personnel. There are also other information sources with manuals, documented history, contact information etc. that is of value supporting the tasks at hand but typically this needs to be retrieved manually. The challenge is how to utilize information originating from heterogeneous information sources that, in addition, may change e.g. for outsourced maintenance service providers taking care of different sites. To facilitate the use of supporting materials an ontology knowledge management approach is developed that integrates data and documents, and provides relevant information for the task at hand using context and semantics based reasoning. Results from early prototyping show that the approach can improve utilization of information in existing systems through adapter layers and complement existing mobile a s well as upcoming augmented reality applications by automatically providing situationally relevant information. (More)

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Paper citation in several formats:
Hästbacka, D.; Aarnio, P.; Vyatkin, V. and Kuikka, S. (2015). Empowering Industrial Maintenance Personnel with Situationally Relevant Information using Semantics and Context Reasoning.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015) ISBN 978-989-758-158-8, pages 182-192. DOI: 10.5220/0005595601820192

@conference{kmis15,
author={David Hästbacka. and Pekka Aarnio. and Valeriy Vyatkin. and Seppo Kuikka.},
title={Empowering Industrial Maintenance Personnel with Situationally Relevant Information using Semantics and Context Reasoning},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)},
year={2015},
pages={182-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005595601820192},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2015)
TI - Empowering Industrial Maintenance Personnel with Situationally Relevant Information using Semantics and Context Reasoning
SN - 978-989-758-158-8
AU - Hästbacka, D.
AU - Aarnio, P.
AU - Vyatkin, V.
AU - Kuikka, S.
PY - 2015
SP - 182
EP - 192
DO - 10.5220/0005595601820192

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