Much recent research has focused on using situations rather than individual pieces of context as a means to trigger adaptive system behaviour. While current research on situations emphasises their representation and composition, they do not provide an approach on how to organise and identify their occurrences efficiently. This paper describes how lattice theory can be utilised to organise situations, which reflects the internal structure of situations such as generalisation and dependence. We claim that situation lattices will prove beneficial in identifying situations, and maintaining the consistency and integrity of situations. They will also help in resolving the uncertainty issues inherent in context and situations by working with Bayesian Networks.
History
Publication title
Proceedings of the 4th International Workshop on Modeling and Reasoning in Context (MRC 2007) with Special Session on the Role of Contextualization in Human Tasks (CHUT)
Editors
A Kofod-Petersen, J Cassens, DB Leake and S Schulz
Pagination
1-12
Publisher
Computer Science, Roskilde University
Place of publication
Roskilde, Denmark
Event title
Modeling and Reasoning in Context (MRC) with Special Session on the Role of Contextualization in Human Tasks (CHUT) which is held in conjunction with CONTEXT
Event Venue
Roskilde University, Denmark
Date of Event (Start Date)
2007-08-20
Date of Event (End Date)
2007-08-24
Rights statement
Copyright 2007 The Authors - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s).
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified