Waste Management Information System - An Expert System Using Ontologies

Erdogan Dogdu, Bahadir Katipoglu, Umutcan Guney

2014

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.

References

  1. Angele, J., Mönch, E., Oppermann, H., Staab, S., and Wenke, D. (2003). Ontology-based query and answering in chemistry: Ontonova project halo. In The Semantic Web-ISWC 2003, pages 913-928. Springer.
  2. Bosca, A., Bonino, D., Comerio, M., Grega, S., and Corno, F. (2007). A reusable 3d visualization component for the semantic web. In Proceedings of the twelfth international conference on 3D web technology, pages 89-96. ACM.
  3. Breuker, J., Valente, A., and Winkels, R. (2004). Legal ontologies in knowledge engineering and information management. Artificial intelligence and law, 12(4):241-277.
  4. Cheng, C. P., Lau, G. T., Law, K. H., Pan, J., and Jones, A. (2008). Regulation retrieval using industry specific taxonomies. Artificial Intelligence and Law, 16(3):277-303.
  5. Gangemi, A. (2007). Design patterns for legal ontology constructions. In LOAIT, pages 65-85.
  6. Hakimov, S., Tunc, H., Akimaliev, M., and Dogdu, E. (2013). Semantic question answering system over linked data using relational patterns. In Proceedings of the Joint EDBT/ICDT 2013 Workshops, pages 83-88. ACM.
  7. Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., and Giannopoulou, E. (2007). Ontology visualization methodsa survey. ACM Computing Surveys (CSUR), 39(4):10.
  8. Kayed, A. (2005). Building e-laws ontology: New approach. In On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops, pages 826-835. Springer.
  9. Khadraoui, A., Arni-Block, N., Léonard, M., and Ralyté, J. (2005). Laws-based ontology for e-government information systems. In The Second international conference on innovations in information technology IIT, volume 5.
  10. Lame, G. (2005). Using nlp techniques to identify legal ontology components: concepts and relations. In Law and the Semantic Web, pages 169-184. Springer.
  11. Sartori, F. and Palmonari, M. (2010). Query expansion for the legal domain: a case study from the jumas project. In Ontology, Conceptualization and Epistemology for Information Systems, Software Engineering and Service Science, pages 107-122. Springer.
  12. van Heijst, G. A. C. M. (1995). The role of ontologies in knowledge engineering.
  13. Wyner, A. (2008). An ontology in owl for legal case-based reasoning. Artificial Intelligence and Law, 16(4):361- 387.
  14. Wyner, A. and Hoekstra, R. (2012). A legal case owl ontology with an instantiation of popov v. hayashi. Artificial Intelligence and Law, 20(1):83-107.
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Paper Citation


in Harvard Style

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 - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 312-318. DOI: 10.5220/0005084403120318


in Bibtex Style

@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 - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={312-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005084403120318},
isbn={978-989-758-049-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Waste Management Information System - An Expert System Using Ontologies
SN - 978-989-758-049-9
AU - Dogdu E.
AU - Katipoglu B.
AU - Guney U.
PY - 2014
SP - 312
EP - 318
DO - 10.5220/0005084403120318