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IADIS International Conference WWW/Internet 2010including a tool-suite especially dedicated to the public administration sector to make the complex task ofontology engineering easier and achievable by domain experts with no or hardly any software engineering ormathematics background. One hypothesis behind this main objective is that the resulting quality ofontologies directly developed by domain experts is higher than the quality of ontologies developed by aclassical ontology engineer as no knowledge is lost or misinterpreted during the knowledge elicitationprocess. A second hypothesis is that the quality of ontologies that were developed following a well definedengineering process is significantly higher than by developing ontologies on an ad hoc basis. How to measurethe quality of an ontology is an open question, though and should also be investigated within this thesis.By means of a feasibility study it will be verified if the level of detail concerning rule/axiom definition aswell as taxonomy definition that can be reached by using the developed tool-suite is sufficient to be directlyoperational by semantic systems.Subsequently, it will be investigated within a pilot case if the developed methodology is appropriate fordomain experts with no software engineering/mathematics background.Finally, a comparative exploratory case study will be conducted to analyze the influence of the overallmethodology in development speed, quality, interoperability and operationality.REFERENCES[1] Corcho O., Fernandez-Lopez M., Gomez-Perez A. Methodologies, tools, and languages for building ontologies.Where is their meeting point? in: Data and Knowledge Engineering, pp. 41-64, 2002.[2] Ojo A., Janowski T., Estevez E. Semantic Interoperability Architecture for Electronic Government, in: Proceedings ofthe 10 th International Digital Government Research Conference, pp. 63-72, 2009.[3] Salhofer P., Stadlhofer B., Ontology Modeling for Goal Driven E-Government, in: Proceedings of the 42nd HawaiiInternational Conference on System Sciences, 5-8 January 2009, Big Island Hawaii, USA, IEEE, pp. 1-9, 2009.[4] Vrandecic D., Pinto S., Tempich C. and Sure Y. The DILIGENT knowledge processes, in: Journal of KnowledgeManagement, Vol. 9 No. 5, pp. 85-96, 2005.[5] Fernandez-Lopez M., Overview of Methodologies for Building Ontologies, in: IJCAI99 Workshop on Ontologies andProblem-Solving Methods: Lessons Learned and Future Trends, Stockholm 1999.[6] Lenat D.B., Guha R.V., Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project,Addison-Wesley, Boston, 1990.[7] Uschold M., King M., Towards a Methodology for Building Ontologies, in: IJCAI95 Workshop on Basic OntologicalIssues in Knowledge Sharing, Montreal, 1995.[8] Grüninger M., Fox M.S., Methodology for the design and evaluation of ontologies, in: Workshop on BasicOntological Issues in Knowledge Sharing, Montreal, 1995[9] Uschold M., Grüninger M., Ontologies: Principles methods and applications, in: The Knowledge Engineering Review11 (2), pp 93-155, 1996.[10] Bernaras A., Laresgoiti I., Corera J., Building and reusing ontologies for electrical network applications, in: Proc.European Conference on Artificial Intelligence (ECAI 96), Budapest, Hungary, pp. 298-302, 1996.[11] Schreiber A., Wielinga B., Jansweijer W., The KACTUS view on the 'O' word. Technical Report, ESPRIT Project8145 KACTUS, University of Amsterdam, The Netherlands, 1995.[12] Gomez-Perez A., Fernandez-Lopez M., deVicente A., Towards a Method to Conceptualize Domain Ontolologies, in:ECAI 96 Workshop on Ontological Engineering, Budapest, pp. 41-51, 1996.[13] Fernandez-Lopez M., Gomez-Perez A., Juristo N., METHONTOLOGY: From Ontological Art Towards OntologicalEngineering, AAAI Symposium on Ontological Engineering, Stanford, 1997.[14] Gomez-Perez A., Knowledge sharing and reuse, in: J. Liebowitz (Ed.), Handbook of Expert Systems, CRC, NewYork, Chapter 10, 1998.[15] Swartout B., Ramesh P., Knight K., Russ T., Toward Distributed Use of Large-Scale Ontologies, AAAI Symposiumon Ontological Engineering, Stanford, 1997[16] Staab S., Schnurr H.P., Studer R., Sure Y., Knowledge processes and ontologies, IEEE Intelligent Systems 16 (1),pp. 26-34, 2001.[17] Berners-Lee T., Hendler J., Lassila O., The semantic web, in: Scientific American, Vol 2001 No. 5, Web resource:http://www.scientificamerican.com/article.cfm?id=the-semantic-web, 2001, viewed on: 2010-05-27.[18] Liebwald D., Knowledge Representation and Modelling Legal Norms: The EU Services Directive, in: Proceedingsof the Third Workshop on Legal Ontologies and Artificial Intelligence Techniques, Barcelona, Spain, 2009.425