skip to main content
10.1145/2031325.2031330acmotherconferencesArticle/Chapter ViewAbstractPublication PageswewstConference Proceedingsconference-collections
research-article

Towards semantic modeling of intentional pervasive information systems

Published: 14 September 2011 Publication History

Abstract

A Pervasive Information System (PIS) provides a new vision of Information System (IS) that intends to make them available anytime and anywhere. PIS evolve in a space of services including physical ones embedded on the physical world, and logical ones representing traditional IS. However, this system should be modeled in such a way that enhances the transparency and efficiency of the system. Thus, we believe that a user-centric vision taking into account user's intention is needed to ensure an evolution with transparency in a frequently changing space. The objective of this paper is to propose a semantic modeling of an intentional PIS based on a semantic service description that considers both intention corresponding to the service and context in which it is supposed to be valid and executed.

References

[1]
Bonino da Silva Santos, L. O., Guizzardi, G., Pires, L. F., Van Sinderen, M.: From User Goals to Service Discovery and Composition. ER Workshops, pp 265--274 (2009)
[2]
Chaari, T., Laforest, F., Celentano, A.: Adaptation in context-aware pervasive information systems: the SECAS project. Int. J. Pervasive Computing and Communications 3(4): 400--425 (2007)
[3]
D2v1.2. Web Service Modeling Ontology (WSMO), http://www.wsmo.org/TR/d2/v1.2/.
[4]
Dey, A.: Understanding and using context. Personal and Ubiquitous Computing, Vol. 5 no. 1, pp. 4--7 (2001)
[5]
Gu, T., Pung, H. K., Zhang, D.: A service-oriented middleware for building context-aware services. J. Network and Computer Applications 28(1): 1--18 (2005)
[6]
IST-MUSIC. December (2010) from http://www.ist-music.eu/
[7]
Jackson, M.: Software Requirements and Specifications: A lexicon of practice, principles and prejudices. Addison Wesley Press, 256 (1995)
[8]
Kaabi, R. S., Souveyet, C.: Capturing intentional services with business process maps. RCIS, pp. 309--318 (2007).
[9]
Kirsch-Pinheiro, M., Vanrompay, Y., Berbers, Y.: Context-aware service selection using graph matching. 2nd Non Functional Properties and Service Level Agreements in Service Oriented Computing Workshop (NFPSLA-SOC'08), ECOWS. CEUR Workshop proceedings, Vol. 411 (2008)
[10]
Kouruthanassis, P. E., Giaglis, G. M.: A design theory for pervasive systems. IWUC, pp. 62--70 (2006)
[11]
Martin, D., Paolucci, M., Mcilraith, S., Burstein, M., Mcdermott, D., Mcguinness, D., Parsia, B., Payne, T., Sabou, M., Solanki, M., Srinivasan, N., Sycara, K.: Bringing Semantics to Web Services: The OWL-S Approach. Cardoso, J. & Sheth, A. (Eds.), SWSWPC 2004, LNCS 3387, Springer, pp. 26--42 (2004)
[12]
Mirbel, I, Crescenzo, P.: From end-user's requirements to Web services retrieval: a semantic and intention-driven approach. J.-H. Morin, J. Ralyte, M. Snene, "Exploring service science", First International Conference, IESS, Springer, pp. 30--44 (2010).
[13]
Najar, S., Saidani, O., Kirsch-Pinheiro M., Souveyet, C., Nurcan S.: Semantic representation of context models: a framework for analyzing and understanding. J. M. Gomez-Perez, P. Haase, M. Tilly, and P. Warren (Eds), 1st Workshop on Context, information and ontologies CIAO, European Semantic Web Conference ESWC, ACM, pp. 1--10 (2009)
[14]
Reichle, R., Wagner, M., Khan, M., Geihs, K., Lorenzo, L., Valla, M., Fra C., Paspallis, N., Papadopoulos, G. A.: A Comprehensive Context Modeling Framework for Pervasive Computing Systems. In 8th IFIP Conf on Distributed Applications and Interoperable Systems (DAIS). Springer.
[15]
Rolland, C., Kirsch-Pinheiro, M., Souveyet, C.: An Intentional Approach to Service Engineering. IEEE Transactions on Service Computing, Vol.3 no 4, pp. 292--305 (2010).
[16]
Strang, T., Linnhoff-Popien, C.: A context modelling Survey. First Int Workshop on Advanced Context Modelling, Reasoning And Management, 6th Int Conf on Ubiquitous Computing (UbiComp 2004), 2004
[17]
Suraci, V., Mignanti, S., Aiuto, A.: Context-aware Semantic Service Discovery. 16th IST Mobile and Wireless Communications Summit, pp. 1--5 (2007)
[18]
Toninelli, A., Corradi, A., Montanari, R.: Semantic-based discovery to support mobile context-aware service access. Computer Communications, vol.31 no 5, pp. 935--949 (2008)

Cited By

View all
  • (2023)Literature review on Intention Mining-oriented Process Mining in information systemArtificial Intelligence Review10.1007/s10462-023-10490-856:11(13841-13872)Online publication date: 19-Apr-2023
  • (2020)Intention Mining Data preprocessing based on Multi-Agents SystemProcedia Computer Science10.1016/j.procs.2020.09.084176(888-897)Online publication date: 2020
  • (2014)A novel approach to process mining: Intentional process models discovery2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2014.6861040(1-12)Online publication date: May-2014
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
WEWST '11: Proceedings of the 6th International Workshop on Enhanced Web Service Technologies
September 2011
37 pages
ISBN:9781450307482
DOI:10.1145/2031325
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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 September 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. OWL-S
  2. context aware service
  3. intention
  4. pervasive information system
  5. service orientation

Qualifiers

  • Research-article

Conference

WEWST '11

Acceptance Rates

Overall Acceptance Rate 5 of 13 submissions, 38%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 13 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2023)Literature review on Intention Mining-oriented Process Mining in information systemArtificial Intelligence Review10.1007/s10462-023-10490-856:11(13841-13872)Online publication date: 19-Apr-2023
  • (2020)Intention Mining Data preprocessing based on Multi-Agents SystemProcedia Computer Science10.1016/j.procs.2020.09.084176(888-897)Online publication date: 2020
  • (2014)A novel approach to process mining: Intentional process models discovery2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2014.6861040(1-12)Online publication date: May-2014
  • (2013)Intention Prediction Mechanism in an Intentional Pervasive Information SystemIntelligent Technologies and Techniques for Pervasive Computing10.4018/978-1-4666-4038-2.ch014(251-275)Online publication date: 2013

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media