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Authors: Dipali Tole and Nikhil Joshi

Affiliation: Asia Technology Innovation Center, John Deere India Pvt. Ltd., Pune and India

ISBN: 978-989-758-330-8

Keyword(s): Ontology, Reasoner, Semantic Web, SQL Query, Database, Automotive Industry.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontology Sharing and Reuse ; Symbolic Systems

Abstract: Vehicle manufacturers gather large amounts of data through on-board sensors and other systems, for applications, such as real-time diagnostics, prognostics, design improvements, etc. However, a lot of time is spent in preparing the data for specific analyses. Moreover, this data preparation requires people having expert knowledge about various data schemas and structures used, as well as the specific domain or vehicle systems that the data pertains to. This paper proposes an approach using a formal Ontology to capture knowledge about the domain, and a reasoner to query and prepare data. Using a demonstrative example, the paper presents a comparison of the current approach to preparing data using experts with the proposed approach. The preliminary findings from the study suggest that the proposed approach is promising, and provides unique advantages specifically when faced with distributed, polymorphic data structures, that may change over time.

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Paper citation in several formats:
Tole, D. and Joshi, N. (2018). Simplifying Data Preparation for Analysis using an Ontology for Machine Data.In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-330-8, pages 167-174. DOI: 10.5220/0006892901670174

@conference{keod18,
author={Dipali Tole. and Nikhil Joshi.},
title={Simplifying Data Preparation for Analysis using an Ontology for Machine Data},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2018},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006892901670174},
isbn={978-989-758-330-8},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Simplifying Data Preparation for Analysis using an Ontology for Machine Data
SN - 978-989-758-330-8
AU - Tole, D.
AU - Joshi, N.
PY - 2018
SP - 167
EP - 174
DO - 10.5220/0006892901670174

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