Semantic middleware for context services composition in ubiquitous computing

ABSTRACT

In this paper, we describe a semantic middleware which aims to provide ubiquitous computing applications with high level contextual knowledge. The proposed middleware architecture is designed around service agent entities, offering transparent and reusable services for context semantic discovery, capture and aggregation. Aggregation of contextual knowledge is modeled using services composition mechanism along with dynamic discovery of available service agents enabled through hierarchical and distributed context directories organization. We introduce also a new ontological model to describe contextual knowledge and services interfaces. The proposed middleware is applied to the design of travel organization service scenario, based on the composition of some ad hoc context services.

REFERENCES

• 1: Matthias Baldauf , Schahram Dustdar , Florian Rosenberg, A survey on context-aware systems, International Journal of Ad Hoc and Ubiquitous Computing, v.2 n.4, p.263-277, June 2007 [doi>10.1504/IJAHUC.2007.014070]
• 2: Strang, T., Linnhoff-Popien, C. "A Context Modeling Survey. In Proceedings of Workshop on Advanced Context Modelling, Reasoning and Management, 2004.
• 3: Anind Kumar Dey , Gregory D. Abowd, Providing architectural support for building context-aware applications, Georgia Institute of Technology, Atlanta, GA, 2000
• 4: Gandon, F., Sadeh, N., Semantic Web Technologies to Reconcile Privacy and Context Awareness. Web Semantics Journal, 1 (3): 241--260, 2004.
• 5: Wang, X. H., Zhang, D. Q., Gu, T., Pung, H. K., OWL encoded context ontology (CONON), Ontology Based Context Modeling and Reasoning using OWL, Second IEEE Conference on Pervasive Computing and Communications.
• 6: CoBrA: Context Broker Architecture, an intelligent broker for context aware smart spaces, http://cobra.umbc.edu/
• 7: Manuel Román , Christopher Hess , Renato Cerqueira , Anand Ranganathan , Roy H. Campbell , Klara Nahrstedt, A Middleware Infrastructure for Active Spaces, IEEE Pervasive Computing, v.1 n.4, p.74-83, October 2002 [doi>10.1109/MPRV.2002.1158281]
• 8: Rey G., Coutaz, J., The Contextor Infrastructure for Context-Aware Computing Component-oriented Approaches to Context-aware Computing ECOOP'04, Oslo, 14 june 2004
• 9: Chibani, A., Semantic web oriented agent's middleware for context aware ubicomp applications. Phd Thesis, University of Paris 12, 2006
• 10: Dean, M., Schreiber, G., OWL Web Ontology Language Reference, W3C Recommendation 10 February 2004, http://www.w3.org/TR/owl-ref/
• 11: Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., Dean, M., SWRL: A Semantic Web Rule Language Combining OWL and RuleML, W3C Member Submission 21 May 2004,
• 12: Massimo Paolucci , Takahiro Kawamura , Terry R. Payne , Katia P. Sycara, Semantic Matching of Web Services Capabilities, Proceedings of the First International Semantic Web Conference on The Semantic Web, p.333-347, June 09-12, 2002
• 13: Sycara K., Lu J., Klusch, M., and Widoff, S., Matchmaking Among Heterogeneous Agents on the Internet., Proceedings AAAI Spring Symposium on Intelligent Agents in Cyberspace, Stanford, USA, 1999.
• 14: OWL-Time Ontology, http://www.isi.edu/~pan/damltime

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
        D.2.11 Software Architectures

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence
      I.2.9 Robotics

Keywords:
context awareness, middleware, semantic matching, semantic web ontology, service agent, ubiquitous computing