Information Modeling Based on Semantic and Pragmatic Meaning

Abstract

In traditional modeling approaches, such as entity-relationship modeling, the predominant information modeling problem is how to represent external reality in the system in a true way. In these approaches, semantic aspects of language are in focus. In contrast to this, the main information modeling problem could be to understand how information systems may support a meaningful use of language and information in a social action context. This chapter presents an information modeling approach based on speech act theory that takes both semantic and pragmatic aspects into consideration. With such an approach, it is possible to reconcile traditional information modeling and the pragmatic aspects of language and information use. Such reconciliation is essential to arrive at information systems that support meaningful communication between different actors within a social action context.