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Human-centered ontology engineering: The HCOME methodology

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Abstract

The fast emergent and continuously evolving areas of the Semantic Web and Knowledge Management make the incorporation of ontology engineering tasks in knowledge-empowered organizations and in the World Wide Web more than necessary. In such environments, the development and evolution of ontologies must be seen as a dynamic process that has to be supported through the entire ontology life cycle, resulting to living ontologies. The aim of this paper is to present the Human-Centered Ontology Engineering Methodology (HCOME) for the development and evaluation of living ontologies in the context of communities of knowledge workers. The methodology aims to empower knowledge workers to continuously manage their formal conceptualizations in their day-to-day activities and shape their information space by being actively involved in the ontology life cycle. The paper also demonstrates the Human Centered ONtology Engineering Environment, HCONE, which can effectively support this methodology.

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References

  1. Chandrasekaran B, Josephson JR, Benjamins VR (1999) What are ontologies, and why do we need them? IEEE Intell Syst 14(1):20–26

    Article  Google Scholar 

  2. Cook SDN, Brown JS (1999) Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing. Organ. Sci 10:381–400

    Article  Google Scholar 

  3. Deerwester S, Dumais TS, Furnas WG, Landauer KT, Harshman R (1990) Indexing by Latent Semantic Analysis. J Am Soc Inform Sci 46(6):391–407

    Article  Google Scholar 

  4. Fernández-López M, Gómez-Pérez A, Pazos-Sierra A, Pazos-Sierra J (1999) Building a Chemical ontology using METHONTOLOGY and the ontology design environment. IEEE Intell Syst 14(1):37–46

    Article  Google Scholar 

  5. Giboin A, Gandon F, Corby O, Dieng R (2002) Assessment of ontology-based tools: Systemizing the scenario approach. In: Proceedings of OntoWeb-SIG3 workshop at the 13th international conference on knowledge engineering and knowledge management EKAW, pp 63–73

  6. Grüninger M, Fox MS (1995) Methodology for the design and evaluation of ontologies. In: Proceedings of IJCAI'95, workshop on basic ontological issues in knowledge sharing, Montreal Canada

  7. Hoffman R, Hays P, Ford K (2002) The triples rule. IEEE Intell Syst 17(3):62–65

    Article  Google Scholar 

  8. Kotis K, Vouros AG (2003) Human centered ontology management with HCONE. In: Proceedings of ODS workshop, IJCAI-03, Acapulco

  9. Kotis K, Vouros AG, Stergiou K (2004) Capturing semantics towards automatic coordination of domain ontologies. LNAI, Vol. 3192, Springer-Verlag

  10. Kunz W, Rittel HWJ (1970) Issues as elements of information systems. Technical Report S-78-2, Institut fur Gundlagen Der Planung I.A, Universitat Stuttgart

  11. Lopez MF (1999) Overview of methodologies for building ontologies. In: Proceedings of the IJCAI-99 workshop on ontologies and problem-solving methods

  12. Miller G, Beckwith R, Fellbaum D, Gross D, Miller K (1995) Five papers on WordNet. CSL Report 43. Cognitive Science Laboratory, Princeton University

  13. ONTOWEB (2002) Consortium for ontology-based information exchange for knowledge management and electronic commerce. IST-2000-29243, Work package 1, Deliverable 1.3: A survey on Ontology Tools

  14. Patel-Schneider PF, Abrahams M, Resnick AL, McGuinness LD, Borgida A (1996) Neoclassic reference manual: Version 1.0. Artificial Intelligence Principles Research Department, AT&T Bell Labs

    Google Scholar 

  15. Pinto S, Martins J (2004) Ontologies: How can they be built? Knowledge and Inform Syst 6:441–464

    Google Scholar 

  16. Pinto S, Staab S, Tempich C (2004) DILIGENT: Towards a fine-grained methodology for DIstributed, Loosely controlled and evolvInG Engineering of oNTologies. ECAI2004, Spain

  17. Power R, Scott D, Evans R (1997) What you see is what you meant: direct knowledge editing with natural language feedback. ITRI Technical Report No. 97-03, University of Brighton

    Google Scholar 

  18. Schnurr HP, Sure Y, Studer R (2000) On-to-knowledge methodology – Baseline version. In: Executive summary, On-To-Knowledge EU-IST-1999-10132 Project Deliverable D15

  19. Staab S, Studer R, Schnurr H, Sure Y (2001) Knowledge processes and ontologies. IEEE Intell Syst 16(1):26–34

    Article  Google Scholar 

  20. Stojanovic L, Motik B (2002) Ontology evolution within ontology editors. In: Proceedings of ontoweb-sig3 workshop at the 13th international conference on knowledge engineering and knowledge management EKAW 2002. Siguenza, Spain, pp 53–62

  21. Sure Y (2002) A tool-supported methodology for ontology-based knowledge management. In: ISMIS 2002, Methodologies for Intelligent Systems

  22. Uschold M (2003) Where are the semantics in the Semantic Web? AI Mag 24:25–36

    Google Scholar 

  23. Uschold M, King M (1995) Towards a methodology for building ontologies. In: Workshop on basic ontological issues in knowledge sharing

  24. Vouros AG (2003) Technological issues towards knowledge powered organizations, Know. Manage J 7:114–127

    Google Scholar 

  25. Vouros AG, Eumeridou E (2002) Simple and EuroWordNet: towards the prometheus ontological framework. Terminology 8:245–278

    Google Scholar 

  26. Zahng J, Patel VL, Johnson KA, Smith JW, Malin J (2002) Designing human-centered distributed information systems. IEEE Intell Syst 5:42–47

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Information and Communications Systems Engineering, University of the Aegean, Samos, Karlovassi, 83200, Greece

    Konstantinos Kotis & George A. Vouros

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  1. Konstantinos Kotis
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  2. George A. Vouros
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Correspondence to Konstantinos Kotis.

Additional information

George VOUROS (B.Sc. Ph.D.) holds a B.Sc. in Mathematics, and a Ph.D. in Artificial Intelligence all from the University of Athens, Greece. Currently he is a Professor and Head of the Department of Information and Communication Systems Engineering, University of the Aegean, Greece, Director of the AI Lab and head of the Intelligent and Cooperative Systems Group (InCoSys). He has done research in the areas of Expert Systems, Knowledge management, Collaborative Systems, Ontologies, and Agent-based Systems. His published scientific work includes more than 80 book chapters, journal and national and international conference papers in the above-mentioned themes. He has served as program chair and chair and member of organizing committees of national and international conferences on related topics.

Konstantinos KOTIS (B.Sc. Ph.D.) holds a B.Sc. in Computation from the University of Manchester, UK (1995), and a Ph.D. in Information Management from University of the Aegean, Greece (May, 2005). Currently, he is a member of the Intelligent and Cooperative Systems Group (InCoSys) and director of the Information Technology Department of the Prefecture of Samos, Greece. His research and published work concerns Knowledge management, Ontology Engineering and Semantic Web. He has lectured in several IT seminars and has served as member of program committees in international workshops.

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Kotis, K., Vouros, G.A. Human-centered ontology engineering: The HCOME methodology. Knowl Inf Syst 10, 109–131 (2006). https://doi.org/10.1007/s10115-005-0227-4

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