Skip to main content
SpringerLink
Log in

Domain Expert Centered Ontology Reuse for Conceptual Models

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2011 (OTM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7045))

Abstract

Generating a project specific domain model for the database of an information system is a critical task. The notions and structure must be well chosen since the application relies on that. With the Semantic Web, many notions and structures of certain domains already exist as a shared knowledge. Hence, it seems that the designer of an information system just has to take an ontology and reuse it for the information system. However, this strategy must be applied carefully since an ontology might have a different focus and purpose with respect to the intended conceptual database model. Nevertheless, it is worth to examine an ontology for elements which can be reused. Research results already exist for this question but these research approaches focus on ontology engineers or conceptual modelers who are able to analyze the ontology. Although these persons are necessary, they are not the only ones who usually must be involved in such a process! What about the domain experts, who do not have the skills to read and understand an ontology? They must be also involved in a good process. The approach presented here, focuses on the domain experts. It will be described how domain experts can be supported and involved in the process. With respect to the ontology language, this approach focuses on OWL.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berger, H., Dittenbach, M., Merkl, D.: Quering Tourism Information Systems in Natural Language. In: Godlevsky, M., Liddle, S., Mayr, H.C. (eds.) Informaton Systems Technol-ogy and its Applications – Proceedings of the 2nd Conference ISTA 2003. GI Lecture Notes in Informatics, vol. p-30, pp. 153–165. Koellen Verlag, Bonn (2003)

    Google Scholar 

  2. Bloesch, A.C., Halpin, T.A.: ConQuer: A Conceptual Query Language. In: Thalheim, B. (ed.) ER 1996. LNCS, vol. 1157, pp. 121–133. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  3. Bontcheva, K.: Generating Tailored Textual Summaries from Ontologies. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 531–545. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  4. ter Hofstede, A.H.M., Proper, H.A., van der Weide, T.P.: Exploring Fact Verbalizations for Conceptual Query Formulation. In: van de Riet, R.P., Burg, J.F.M., van der Vos, A.J. (eds.) Proceedings of the Second International Workshop on Applications of Natural Language to Information Systems, pp. 40–51. IOS Press, Amsterdam (1996)

    Google Scholar 

  5. Embley, D.W.: NFQL: The Natural Forms Query Language. ACM Transactions on Database Systems 14(2), 168–211 (1989)

    Article  Google Scholar 

  6. Fliedl, G., Kop, C., Vöhringer, J.: From OWL Class and Property Labels to Human Un-Derstandable Natural Language. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds.) NLDB 2007. LNCS, vol. 4592, pp. 156–167. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  7. Fliedl, G., Kop, C., Mayr, H.C., Salbrechter, A., Vöhringer, J., Weber, G., Winkler, C.: Deriving Static and Dynamic Concepts from Software Requirements using Sophisticated Tagging. Data and Knowledge Engineering 61(3), 433–448 (2007)

    Article  Google Scholar 

  8. Fuchs, N.E., Höfler, S., Kaljurand, K., Rinaldi, F., Schneider, G.: Attempto Controlled English: A Knowledge Representation Language Readable by Humans and Machines. In: Eisinger, N., Małuszyński, J. (eds.) Reasoning Web. LNCS, vol. 3564, pp. 213–250. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. Hewlett, D., Kalyanpur, A., Kolovski, V., Halaschek-Wiener, C.: Effective Natural Lan-guage Paraphrasing of Ontologies on the Semantic Web. In: End User Semantic Web In-teraction Workshop. CEUR-WS Proceedings, vol. 172 (2005), http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/

  10. Jaakkola, H., Thalheim, B.: Visual SQL – High-Quality ER-Based Query Treatment. In: Jeusfeld, M.A., Pastor, Ó. (eds.) ER Workshops 2003. LNCS, vol. 2814, pp. 129–139. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Järvelin, K., Niemi, T., Salminen, A.: The visual query language CQL for transitive and relational computation. In. Data & Knowledge Engineering 35, 39–51 (2000)

    Article  MATH  Google Scholar 

  12. Kardkovács, Z.T.: On the Transformation of Sentences with Genitive Relations to SQL Queries. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 10–20. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Owei, V., Rhee, H.-S., Navathe, S.: Natural Language Query Filtration in the Conceptual Query Language. In: Proceedings of the 30th Hawaii International Conference on System Science, vol. 3, pp. 539–550. IEEE Press, New York (1997)

    Google Scholar 

  14. Stratica, N., Kosseim, L., Desai, B.C.: Using semantic templates for a natural language interface to the CINDI virtual library. Data & Knowledge Engineering 55, 4–19 (2005)

    Article  Google Scholar 

  15. Kapetainos, E., Baer, D., Groenewoud, P.: Simplifying syntactic and semantic parsing of NL-based queries in adavanced application domains. Data & Knowledge Engineering Journal 55, 38–58 (2005)

    Article  Google Scholar 

  16. Kao, M., Cercone, N., Luk, W.-S.: Providing quality responses with natural language interfaces: thenull value problem. IEEE Transactions on Software Engineering 14(7), 959–984 (1988)

    Article  Google Scholar 

  17. Tang, L.R., Mooney, R.J.: Using Multiple Clause Constructors in Inductive Logic Pro-gramming for Semantic Parsing. In: Proceedings of the 12th European Conference on Machine Learning (ECML 2001), pp. 466–477 (2001)

    Google Scholar 

  18. Terwillinger, J.F., Delcambre, L.M., Logan, J.: Querying through a user interface. Data Knowledge Engineering 63, 774–794 (2007)

    Article  Google Scholar 

  19. Kate, R.J., Mooney, R.J.: Using String-Kernels for Learning Semantic Parsers. In: COLING/ACL Proceedings, Sydney, pp. 913–920 (2006)

    Google Scholar 

  20. Ge, R., Mooney, R.J.: A Statistical Semantic Parser that Integrates Syntax and Se-mantics. In: Proceedings of the Ninth Conference on Computational Natural Language Learning, Ann Arbor, MI, pp. 9–16 (2005)

    Google Scholar 

  21. Wong, Y.W., Mooney, R.J.: Learning for Semantic Parsing with Statistical Machine Translation. In: Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2006), New York, pp. 439–446 (2006)

    Google Scholar 

  22. Buchholz, E., Cyriaks, H., Düsterhöft, A., Mehlan, H., Thalheim, B.: Applying a Natural Language Dialog Tool for Designing Databases. In: Proc. International Workshop on Applications of Natural Language to Databases (NLDB 1995), pp. 119–133 (1995)

    Google Scholar 

  23. Chen, P.P.: English Sentence Structure and Entity Relationship Diagrams. Int. Journal of Information Sciences 29, 127–149 (1983)

    Article  Google Scholar 

  24. Moreno, A.M., Juristo, N., van de Riet, R.P.: Formal Justification in object-oriented modeling: A linguistic approach. Data & Knowledge Engineering 33, 25–47 (2000)

    Article  MATH  Google Scholar 

  25. Rolland, C.: An Information System Methodology Supported by an Expert Design Tool. In: Pirow, P.C., Duffy, N.M., Ford, J.C. (eds.) Proceedings of the IFIP TC8 International Symposium on Information Systems, pp. 189–201. North Holland Publ. Company (1987)

    Google Scholar 

  26. Tjoa, A.M., Berger, L.: Transformation of Requirement Specification Expressed in Natu-ral Language into an EER Model. In: Elmasri, R.A., Kouramajian, V., Thalheim, B. (eds.) ER 1993. LNCS, vol. 823, pp. 127–149. Springer, Heidelberg (1994)

    Google Scholar 

  27. Vadera, S., Meziane, V.: From English to Formal Specifications. The Computer Journal 37(9), 753–763 (1994)

    Article  Google Scholar 

  28. Abbott, R.J.: Program Design by Informal English Descriptions. Communication of the ACM 26(11), 882–894 (1983)

    Article  MATH  Google Scholar 

  29. Burg, J.F.M.: Linguistic Instruments in Requirements Engineering. IOS Press, Amsterdam (1997)

    Google Scholar 

  30. Dignum, F., Riet van de, R.P.: Knowledge base modeling based on linguistic and founded in logic. Data & Knowledge Engineering 7, 1–34 (1991)

    Article  Google Scholar 

  31. Nijssen, G.M., Halpin, T.A.: Conceptual Schema and Relational Database Design – A fact oriented approach. Prentice Hall Publishing Company (1989)

    Google Scholar 

  32. Baclawski, K., Koka, M.K., Kogut, P.A., Hart, L., Smith, J., Holmes, W.S., Letkowski, J., Aronson, M.L., Emery, P.: Extending the Unified Modeling Language for Ontology Development. Journal of Software and System Modeling (sosym) 1(2), 142–156 (2002)

    Article  Google Scholar 

  33. Sugumaran, V., Storey, V.: The Role of Domain Ontologies in Database Design: An Ontology Management and Conceptual Modeling Environment. ACM Transaction on Database Systems 31(3), 1064–1094 (2006)

    Article  Google Scholar 

  34. Sugumaran, V., Storey, V.: Ontologies for conceptual modeling: their creation, use and management. Data & Knowledge Engineering 42, 251–271 (2002)

    Article  MATH  Google Scholar 

  35. Vasilecas, O., Bugaite, D.: Ontology-Based Elicitation of Business Rules. In: Nilsson, A.G., Gustas, R., Wojtkowski, W.G., Wojtkowski, W., Wrycza, S., Zupancic, J. (eds.) Advances in Information Systems Development: Bridging the Gap between Academia & Industry, vol. 2, pp. 795–805. Springer, Heidelberg (2005)

    Google Scholar 

  36. Guarino, N.: Formal Ontology and Information Systems. In: Proceedings of FOIS 1998, pp. 3–15. IOS Pess, Amsterdam (1998)

    Google Scholar 

  37. Hart, L., Emery P., Colomb B., Raymond, K., Taraporewalla, S., Chang, D., Ye, Y., Kendall, E., Dutra, M.: OWL Full and UML 2.0 Compared, Version 2.4 (2004), http://www.itee.uq.edu.au/~colomb/Papers/UML-OWLont04.03.01.pdf

  38. Gasevic, D., Djuric, D., Devedzic, V., Damjanovic, V.: Converting UML to OWL Ontolo-gies. In: ACM Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers & Posters, pp. 488–489. ACM Press (2004)

    Google Scholar 

  39. Brockmans, S., Haase, P., Hitzler, P., Studer, R.: A Metamodel and UML Profile for Rule-Extended OWL DL Ontologies. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 303–316. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  40. Conesa, J., Olivé, À.: Pruning Ontologies in the Development of Conceptual Schemas of Information Systems. In: Atzeni, P., Chu, W., Lu, H., Zhou, S., Ling, T.-W. (eds.) ER 2004. LNCS, vol. 3288, pp. 122–135. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  41. Bhatt, M., Rahayu, W., Prakash, S., Wouters, C.: OntoMove: A Knowledge Based Framework For Semantic Requirement Profiling and Resource Acquistion. In: Proceedings of the Australian Software Engineering Conference (ASWEC 2007), pp. 137–146 (2007)

    Google Scholar 

  42. Alani, H., Harris, S., O’Neill, B.: Ontology Winnowing: A Case Study on the AKT Reference Ontology. In: International CIMCA/IAWTIC Conference, pp. 710–715. IEEE Press (2005)

    Google Scholar 

  43. Sugumaran, V., Purao, S., Storey, V., Conesa, J.: On-Demand Extraction of Domain Concepts and Relationships from Social Tagging Websites. In: Hopfe, C.J., Rezgui, Y., Métais, E., Preece, A., Li, H. (eds.) NLDB 2010. LNCS, vol. 6177, pp. 224–232. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  44. Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature rich part-of speech tagging with a cyclic dependency network. In: Proceedings of HLT-NAACL, pp. 252–259 (2003)

    Google Scholar 

  45. Penn-Treebank TagSet, http://www.cis.upenn.edu/~treebank (last access: August 19, 2011)

  46. Geo Query Project, http://www.cs.utexas.edu/users/ml/geo.html (last access: August 19, 2011)

  47. Controlled Natural Language, http://sites.google.com/site/controllednaturallanguage/ (last access: August 19, 2011)

  48. http://krono.act.uji.es/Links/ontologies (last access: August 19, 2011)

  49. Ontology Designpatterns.org (ODB), http://www.ontologydesignpatterns.org/ (last access: August 19, 2011)

Download references

Author information

Authors and Affiliations

  1. Alpen-Adria-Universitaet Klagenfurt, Unversitaetsstrasse 65 – 67, Klagenfurt, Austria

    Christian Kop

Authors
  1. Christian Kop
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussel, Belgium

    Robert Meersman

  2. DEBII, Curtin University of Technology, Technology Park, De Laeter Way, 6102, Bentley, WA, Australia

    Tharam Dillon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

  4. Smeal College of Business, Pennsylvania State University, University Park, 16802, P.O. Box, PA, U.S.A.

    Akhil Kumar

  5. Institute of Databases and Information Systems, Ulm University, Germany

    Manfred Reichert

  6. City University of Hong Kong, Hong Kong

    Li Qing

  7. National University of Singapore (NUS), Singapore

    Beng-Chin Ooi

  8. Dipartemento Tecnologie dell’Informazione, Universitá degli Studi di Milano, Via Bramante 65, 26013, Crema, Italy

    Ernesto Damiani

  9. Vanderbilt University, VU, Station B #1829, 2015 Terrace Place, 37203, Nashville, TN, USA

    Douglas C. Schmidt

  10. Virginia Tech, 24060, Blacksburg, VA

    Jules White

  11. Digital Enterprise Research Institute (DERI),, National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland

    Manfred Hauswirth

  12. Kno.e.sis Center, Wright State University, Dayton,, Ohio

    Pascal Hitzler

  13. IBM India Research Lab, 4, Block C, Institutional Area, 110 070, Vasant Kunj, New Delhi, India

    Mukesh Mohania

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kop, C. (2011). Domain Expert Centered Ontology Reuse for Conceptual Models. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2011. OTM 2011. Lecture Notes in Computer Science, vol 7045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25106-1_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25106-1_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25105-4

  • Online ISBN: 978-3-642-25106-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation