A-ToPSS: A Publish/Subscribe System Supporting Imperfect Information Processing Haifeng Liu and Hans-Arno Jacobsen   View Paper (PDF)   Return to DEMO GROUP 2: DISTRIBUTED DATABASES Abstract In the publish/subscribe paradigm, information providers disseminate publications to all consumers who have expressed interest by registering subscriptions with the publish/subscribe system. This paradigm has found wide-spread applications, ranging from selective information dissemination to network management. In all existing publish/subscribe systems, neither subscriptions nor publications can capture uncertainty inherent to the information underlying the application domain. However, in many situations, exact knowledge of either specific subscriptions, or publications, is not available. To address this problem, we demonstrate a new publish/subscribe model based on possibility theory and fuzzy set theory to process imperfect information for, either expressing subscriptions, or publications, or both combined. Furthermore, a solid system is developed to experiment the new model. ©2005 Association for Computing Machinery