Ambient Systems , Networks and Technologies ( ANT 2013 ) An Activity-based Carpooling Microsimulation using Ontology

Abstract This study aims to show an ability of Ontology, which is a formal explicit description of concepts in a domain of interest, in an activity-based microsimulation. Thus, an agent-based carpooling application using ontology techniques is presented as a case study with a focus on three functions of the Ontology. First, Ontology facilitates integrating between heterogeneous databases by defining the relationship between their concepts. Second, Ontology verifies the compatibility and consistency between the different angles to combine varied models in a common structure by providing shared knowledge between different domains modelling with the definition of objects and concepts. Lastly, Ontology is useful for modelling agent communication by means of making explicit the parsed message between agents with the shared knowledge. This paper introduces related studies and basic knowledge about using methodologies, and supports an example of using Ontology in an agent-based carpooling simulation.

[1]  G. Madey,et al.  AN ONTOLOGY FOR AGENT-BASED MODELING AND SIMULATION , 2004 .

[2]  René Meier,et al.  Primary-Context Model and Ontology: A Combined Approach for Pervasive Transportation Services , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

[3]  Antonio Fioravanti,et al.  An ontology-based system to support agent-based simulation of building use , 2012, J. Inf. Technol. Constr..

[4]  Stéphane Faulkner,et al.  Ontological Basis for Agent ADL , 2003, CAiSE Short Paper Proceedings.

[5]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993 .

[6]  Anand S. Rao,et al.  Modeling Rational Agents within a BDI-Architecture , 1997, KR.

[7]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[8]  Maria Teresa Pazienza,et al.  Information Extraction A Multidisciplinary Approach to an Emerging Information Technology , 1997, Lecture Notes in Computer Science.

[9]  R. Mitchell,et al.  URBAN TRAFFIC--A FUNCTION OF LAND USE , 1954 .

[10]  M. Merdan,et al.  Application of an ontology in a transport domain , 2008, 2008 IEEE International Conference on Industrial Technology.

[11]  Cristina Fierbinteanu.  A decision support systems generator for transportation demand forecasting implemented by constraint logic programming , 1999, Decis. Support Syst..

[12]  Michael J. North,et al.  Agent-based modeling and simulation , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[13]  Stephen F. Smith,et al.  An Ontology for Multi-Modal Transportation Planning and Scheduling , 1999 .

[14]  Nicola Guarino,et al.  Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration , 1997, SCIE.

[15]  Viktor K. Prasanna,et al.  A Semantic Framework for Integrated Modeling and Simulation of Transportation Systems , 2009, CTS 2009.

[16]  Bernhard Lorenz,et al.  Ontology of Transportation Networks , 2005 .

[17]  Yu-chin Tai,et al.  iTaxi : Context-Aware Taxi Demand Hotspots Prediction Using Ontology and Data Mining Approaches , 2010 .

[18]  Káthia Marçal de Oliveira,et al.  A public transportation ontology to support user travel planning , 2010, 2010 Fourth International Conference on Research Challenges in Information Science (RCIS).