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Ontonym: a collection of upper ontologies for developing pervasive systems

Published: 01 June 2009 Publication History

Abstract

Pervasive systems present the need to interpret large quantities of data from many sources. Context models support developers working with such data by providing a shared representation of the environment on which to base this interpretation. This paper presents a set of requirements for a context model that addresses uncertainty, provenance, sensing and temporal properties of context. Based on these requirements, we describe Ontonym, a set of ontologies that represent core concepts in pervasive computing. We propose a framework for evaluating ontologies in the pervasive computing domain by combining recognised techniques from the literature, and present a preliminary evaluation of Ontonym using these criteria.

References

[1]
Mark Weiser. The computer for the 21st century. Human-computer interaction: toward the year 2000, pages 933--940, 1995.
[2]
P. Dourish. What We Talk About When We Talk About Context. Personal and Ubiquitous Computing, 8(1):19--30, February 2004.
[3]
N. Baumgartner and W. Retschitzegger. A survey of upper ontologies for situation awareness. In In Proceedings of the 4th IASTED International Conference on Knowledge Sharing and Collaborative Engineering, pages 1--9, St. Thomas, US Virgin Islands, November 2006.
[4]
T. Strang and C. Linnhoff-Popien. A context modeling survey. In Proceedings of the Workshop on Advanced Context Modelling, Reasoning and Management as part of UbiComp 2004 - The Sixth International Conference on Ubiquitous Computing, Nottingham, UK, September 2004.
[5]
K. Henricksen, J. Indulska, and T. McFadden. Modelling context information with orm. In Proceedings of On the Move to Meaningful Internet Systems 2005: OTM Workshops, pages 626--635, 2005.
[6]
K. Henricksen and J. Indulska. Modelling and using imperfect context information. In Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, page 33, Washington, DC, USA, 2004. IEEE Computer Society.
[7]
P. Buneman, S. Khanna, and W. C. Tan. Data provenance: Some basic issues. In Proceedings of the 20th Conference on Foundations of Software Technology and Theoretical Computer Science, pages 87--93, London, UK, 2000.
[8]
K. Henricksen, J. Indulska, and A. Rakotonirainy. Modeling Context Information in Pervasive Computing Systems. In Proceedings of the International Conference on Pervasive Computing 2002 (Pervasive 2002), Zurich, Switzerland, 2002.
[9]
K. Henricksen, R. Wishart, T. McFadden, and J. Indulska. Extending context models for privacy in pervasive computing environments. In Proceedings of the 2nd International Workshop on Context Modelling and Reasoning (CoMoRea), pages 20--24. IEEE Computer Society, 2005.
[10]
H. Chen, F. Perich, T. Finin, and A. Joshi. SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications. In International Conference on Mobile and Ubiquitous Systems: Networking and Services, Boston, MA, August 2004.
[11]
J. Ye, L. Coyle, S. Dobson, and P. Nixon. Ontology-based models in pervasive computing systems. The Knowledge Engineering Review, 22:315--347, December 2007.
[12]
J. F. Allen. Towards a general theory of action and time. Artificial Intelligence, 23(2):123--154, 1984.
[13]
J. Hightower and G. Borriello. Location systems for ubiquitous computing. IEEE Computer, 34(8):57--66, August 2001.
[14]
R. Want, A. Hopper, V. Falcao, and J. Gibbons. The active badge location system. ACM Transactions on Information Systems, 10(1):91--102, 1992.
[15]
C. Jiang and P. Steenkiste. A hybrid location model with a computable location identifier for ubiquitous computing. In Proceedings of The Fourth International Conference on Ubiquitous Computing, UbiComp 2002, pages 246--263, London, UK, 2002.
[16]
J. Ye, L. Coyle, S. Dobson, and P. Nixon. A unified semantics space model. volume 4718, pages 103--120, Oberpfaffenhofen, Germany, September 2007.
[17]
Roy Want. You are your cell phone. IEEE Pervasive Computing, 7(2):2--4, 2008.
[18]
S. Coetzee, A. K. Cooper, M. Lind, M. M. Wells, S. W. Yurman, E. Wells, N. Griffiths, and M. J. L. Nicholson. Towards an international address standard. In Proceedings of the Tenth International Conference for Spatial Data Infrastructure Conference, Trinidad and Tobago, 2008.
[19]
F. Pan and J. T. Hobbs. Time in owl-s. In Proceedings of the AAAI Spring Symposium on Semantic Web Services, pages 29--36, California, USA, 2004.
[20]
T. R. Gruber. Towards principles for the design of ontologies used for knowledge sharing. In N. Guarino and R. Poli, editors, Formal Ontology in Conceptual Analysis and Knowledge Representation, Deventer, The Netherlands, 1993.
[21]
M. Uschold and M. Gr�ninger. Ontologies: Principles, Methods, and Applications. Knowledge Engineering Review, 11(2):93--155, 1996.
[22]
R. M. Colomb. Quality of Ontologies in Interoperating Information Systems. Technical Report ISIB-CNR-TR-18-02, Padova, Italy, 2002.
[23]
A. Gomez-Perez. Handbook On Ontologies, chapter 13. Springer, 2003.
[24]
R. Porzel and M. Rainer. A task-based approach for ontology evaluation. In Proceedings of the ECAI Workshop on Ontology Learning and Population, 2004.
[25]
J. Brank, M. Grobelnik, and D. Mladenic. A survey of ontology evaluation techniques. In Proceedings of the Conference on Data Mining and Data Warehouses (SiKDD 2005), 2005.
[26]
M. Sabou, V. Lopez, and E. Motta. Ontology selection for the real semantic web: How to cover the queen�s birthday dinner? Managing Knowledge in a World of Networks, 4248/2006:96--111, 2006.
[27]
C. Brewster, H. Alani, and A. Dasmahapatra. Data driven ontology evaluation. In Proceedings of the International Conference on Language Resources and Evaluation, Lisbon, Portugal, 2004.
[28]
S. Neely, G. Stevenson, C. Kray, I. Mulder, K. Connelly, and K. A. Siek. Evaluating pervasive and ubiquitous systems. Pervasive Computing, IEEE, 7(3):85--88, July-Sept. 2008.
[29]
T. Strang, C. Linnhoff-Popien, and K. Frank. CoOL: A Context Ontology Language to enable Contextual Interoperability. In Proceedings of 4th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS2003), LNCS 2893, pages 236--247, Paris, France, November 2003.
[30]
J. Coutaz, A. Dearle, S. Dupuy-Chessa, G. N. C. Kirby, C. Lachenal, R. Morrison, G. Rey, and E. Zirrintsis. Working Document on Gloss Ontology. Technical Report D9.2, Global Smart Spaces Project IST-2000-26070, 2003.
[31]
T. Gu, X. H. Wang, H. K. Pung, and D. Q. Zhang. An ontology-based context model in intelligent environments. In Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, pages 270--275, 2004.

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cover image ACM Other conferences
CIAO '09: Proceedings of the 1st Workshop on Context, Information and Ontologies
June 2009
79 pages
ISBN:9781605585284
DOI:10.1145/1552262
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 June 2009

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