Supporting ontology driven document enrichment within communities of practice

ABSTRACT

Formative work by Lave and Wenger has articulated how practices emerge through the interplay of informal processes with symbolic codifications and artifacts. In this paper, we describe how ontologies can serve as symbolic tools within a community of practice supporting communication and knowledge sharing. We show that when a community's perspective on an issue is stable, it opens the possibility for introducing knowledge services, based on an ontology co-constructed by knowledge engineers with stakeholders. Using a case study we describe our approach, ontology driven document enrichment, looking at how ontology construction and population can be supported by web based technologies.

REFERENCES

• 1: Benjamins, R., Fensel, D. and Gomez Perez A. Knowledge Management through Ontologies. In U. Reimer (editor), Proceedings of the Second International Conference on Practical Aspects of Knowledge Management. Basel, Switzerland, 29-30 October, 1998.
• 2: Geoffery C. Bowker , Susan Leigh Star, Sorting things out: classification and its consequences, MIT Press, Cambridge, MA, 2000
• 3: Domingue, J. Tadzebao and WebOnto: Discussing, Browsing, and Editing Ontologies on the Web. In B. Gaines and M. Musen (editors), Proc 11th Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, Canada, April, 1998.
• 4: Marc Eisenstadt , John Domingue , Tim Rajan , Enrico Motta, Visual Knowledge Engineering, IEEE Transactions on Software Engineering, v.16 n.10, p.1164-1177, October 1990 [doi>10.1109/32.60296]
• 5: Erdmann, M., Maedche, A., Schnurr, H.P., Staab, S. From Manual to Semi-Automatic Semantic Annotation: About Ontology-based Text Annotation Tools. COLING-2000 Workshop on Semantic Annotation and Intelligent Content, Centre Universitaire, Luxembourg, 5-6 August, 2000
• 6: Dieter Fensel , Stefan Decker , Michael Erdmann , Rudi Studer, Ontobroker: The Very High Idea, Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, p.131-135, May 18-20, 1998
• 7: Dieter Fensel , Ian Horrocks , Frank van Harmelen , Stefan Decker , Michael Erdmann , Michel C. A. Klein, OIL in a Nutshell, Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management, p.1-16, October 02-06, 2000
• 8: Grosso, W. E., Eriksson, H., Fergerson, R. W, Gennari, J. H., Tu, S. W., and Musen, M. A. Knowledge Modeling at the Millennium (The Design and Evolution of Protege-2000). Proc 12th Knowledge Acquisition Workshop, Banff, Alberta, Canada, October, 1999.
• 9: Thomas R. Gruber, A translation approach to portable ontology specifications, Knowledge Acquisition, v.5 n.2, p.199-220, June 1993 [doi>10.1006/knac.1993.1008]
• 10: Hatala, M., and Hreno, J. Annotation of documents with knowledge model concepts. Enrich Report ID44-O-K, 2000. (Available at http://kmi.open.ac.uk/projects/ enrich/id44.pdf).
• 11: Heflin, J. Hendler, J., and S. Luke. Applying Ontology to the Web: A Case Study. In Proc of the International Work-Conference on Artificial and Natural Neural Networks, IWANN'99.
• 12: Kalfoglou, Y. Domingue, J., Carr, L., Motta, E., Vargas- Vera, M. and Buckingham Shum, S. On the integration of technologies for capturing and navigating knowledge with ontology-driven services. KMi Technical Report No. 106, April, 2001.
• 13: Lave, J. and Wegner, E. Situated Learning: Legitimate Peripheral Participation, Cambridge University Press, Cambridge, UK, 1991.
• 14: Meseguer, P. and Preece, A. Verification and validation of knowledge-based systems with formal specifications. The Knowledge Engineering Review, 10(4), 331-343, 1995.
• 15: E. Motta, Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving, IOS Press, Amsterdam, The Netherlands, 1999
• 16: Enrico Motta , Simon Shum Buckingham , John Domingue, Ontology-driven document enrichment: principles, tools and applications, International Journal of Human-Computer Studies, v.52 n.6, p.1071-1109, June 2000 [doi>10.1006/ijhc.2000.0384]
• 17: Ellen Riloff, An empirical study of automated dictionary construction for information extraction in three domains, Artificial Intelligence, v.85 n.1-2, p.101-134, Aug. 1996 [doi>10.1016/0004-3702(95)00123-9]
• 18: Alberto Riva , Marco Ramoni, LispWeb: a specialized HTTP server for distributed AI applications, Computer Networks and ISDN Systems, v.28 n.7-11, p.953-961, May 1996
• 19: Staab, S., A. M~dche, S. Handschuh. An Annotation Framework for the Semantic Web. In: S. Ishizaki (ed.), Proc. of The First International Workshop on MultiMedia Annotation. January, 30 - 31, 2001. Tokyo, Japan.
• 20: Tennison, J. and Shadbolt, N. R. APECKS: a Tool to Support Living Ontologies. Proc. of the 11th Banff Knowledge Acquisition Workshop, Banff, Alberta, Canada, April 18-23, 1998.
• 21: Vargas-Vera, M., Domingue, J., Kalfoglou, Y., Motta, E. and Buckingham-Shum, S. Template-driven information extraction for populating ontologies. Proc of the IJCAI'01 Workshop on Ontology, Learning, Seattle, WA, USA 2001.
• 22: Wenger, E. Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press: Cambridge, 1998

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning
          Subjects: Knowledge acquisition

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representation languages; Representations (procedural and rule-based)

General Terms:
Measurement, Performance, Theory

Keywords:
communities of practice, knowledge management, ontology, semantic web