Complex Task Ontology Conceptual Modelling: Towards the Development of the Agriculture Operations Task Ontology

Elcio Abrahão, André Riyuiti Hirakawa

2018

Abstract

Different from domain ontologies, task ontologies must describe the knowledge from its structural and behavioural views, considering aspects as sequence of execution, conditional deviation, external expected and unexpected events interference, pre and post conditions, task granularity, agent participation, geographic localization, resource consummation, production and change. Although the use of conceptual models is well accepted to formally describe domain ontologies, there is little research about conceptual models for complex task ontologies. This paper describes the ongoing research on the Agriculture Operations Task Ontology (AGROPTO) where OntoUML is used to develop conceptual models to describe complex task’s aspects and possible modelling solutions based on Unified Foundation Ontology (UFO). An extension of the E-OntoUML, a language for modelling task ontologies, is suggested to describe methods for modelling task objectives, external event interference, pre/post conditions and task execution state modifications in order to guide future research.

Paper Citation

in Harvard Style

Abrahão E. and Hirakawa A. (2018). Complex Task Ontology Conceptual Modelling: Towards the Development of the Agriculture Operations Task Ontology. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 287-294. DOI: 10.5220/0006956202870294

in Bibtex Style

@conference{keod18,
author={Elcio Abrahão and André Riyuiti Hirakawa},
title={Complex Task Ontology Conceptual Modelling: Towards the Development of the Agriculture Operations Task Ontology},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={287-294},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006956202870294},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - Complex Task Ontology Conceptual Modelling: Towards the Development of the Agriculture Operations Task Ontology
SN - 978-989-758-330-8
AU - Abrahão E.
AU - Hirakawa A.
PY - 2018
SP - 287
EP - 294
DO - 10.5220/0006956202870294
PB - SciTePress