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Authors: Erdogan Dogdu ; Bahadir Katipoglu and Umutcan Guney

Affiliation: TOBB University of Economics and Technology, Turkey

Keyword(s): Ontology, Expert Systems, Software Design, Knowledge Systems, Waste Management.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Biomedical Engineering ; Data Engineering ; Decision Support Systems ; Domain Analysis and Modeling ; Enterprise Information Systems ; Expert Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Symbolic Systems

Abstract: Legal documents that include rules and regulations are hard to interpret most of the time. We present the requirements and the design of an ontology-based expert system framework that we are developing for easy translation of legal concepts, rules and constraints to an ontology. Ontology engineers and domain experts on specific legal documents work collaboratively on this system to generate generic and customized ontologies via an ontology generation workbench called WOBE (Ontology-based Expert System Workbench) and the expert system built using the workbench allows end users to follow the rules and regulations without consulting the complex legal documents. We compare WOBE framework with related tools at the end.

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Paper citation in several formats:
Dogdu, E.; Katipoglu, B. and Guney, U. (2014). Waste Management Information System - An Expert System Using Ontologies. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD; ISBN 978-989-758-049-9; ISSN 2184-3228, SciTePress, pages 312-318. DOI: 10.5220/0005084403120318

@conference{keod14,
author={Erdogan Dogdu. and Bahadir Katipoglu. and Umutcan Guney.},
title={Waste Management Information System - An Expert System Using Ontologies},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD},
year={2014},
pages={312-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005084403120318},
isbn={978-989-758-049-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development (IC3K 2014) - KEOD
TI - Waste Management Information System - An Expert System Using Ontologies
SN - 978-989-758-049-9
IS - 2184-3228
AU - Dogdu, E.
AU - Katipoglu, B.
AU - Guney, U.
PY - 2014
SP - 312
EP - 318
DO - 10.5220/0005084403120318
PB - SciTePress

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