An Ontological Model for Representing Pragmatic Aspects of Collaborative Problem Solving
Authors:
- Rodrigo BonacinRBRodrigo Bonacin
- Julio Cesar Dos ReisJRJulio Cesar Dos Reis
- Heiko HornungHHHeiko Hornung
- M. Cecilia C. BaranauskasMBM. Cecilia C. Baranauskas
- 1 June 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 15244547,p. 444-449
Abstract
User interactions in Web-based collaborative problem solving generate a huge amount of messages. Such messages can be a source of knowledge to solve future problems, as well as be used for analytical purposes, e.g., for understanding the development of a discussion or for evaluating how a system supports different types of conversations. These possibilities depend on a proper classification of the messages regarding semantic and pragmatic aspects. The construction of a knowledge representation model that considers the pragmatic aspects of the messages is still an open challenge. In this work we argue that such a model must include the association of semantics with illocutionary aspects of the users' communication. This paper proposes a model using Semantic Web standards to associate messages to illocutions and ontology terms, as an integrated representation. This model is grounded in the Pragmatic Web perspective including Semiotics and Speech Act Theory. Two case studies illustrate practical issues and implications.Keywords
This publication has 9 references indexed in Scilit:
- Modelling and Analysis of User Behaviour in Online CommunitiesLecture Notes in Computer Science, 2011
- Towards a Conceptual Framework for Interaction Design for the Pragmatic Web2011
- From the Semantic Web to social machines: A research challenge for AI on the World Wide WebArtificial Intelligence, 2010
- Pragmatic Computing – A Semiotic Perspective to Web Services2008
- Rule responder2007
- The pragmatic web: a manifestoCommunications of the ACM, 2006
- Web service selection in virtual communities2004
- The pragmatic webIEEE Internet Computing, 2002
- Semiotics in Information Systems Engineering2000