Probabilistic Dialogue Models for Dynamic Ontology Mapping

Paolo Besana, Dave Robertson

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Agents need to communicate in order to accomplish tasks that they are unable to perform alone. Communication requires agents to share a common ontology, a strong assumption in open environments where agents from different backgrounds meet briefly, making it impossible to map all the ontologies in advance. An agent, when it receives a message, needs to compare the foreign terms in the message with all the terms in its own local ontology, searching for the most similar one. However, the content of a message may be described using an interaction model: the entities to which the terms refer are correlated with other entities in the interaction, and they may also have prior probabilities determined by earlier, similar interactions. Within the context of an interaction it is possible to predict the set of possible entities a received message may contain, and it is possible to sacrifice recall for efficiency by comparing the foreign terms only with the most probable local ones. This allows a novel form of dynamic ontology matching.
Original languageEnglish
Title of host publicationUncertainty Reasoning for the Semantic Web I
Subtitle of host publicationISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers
EditorsPaulo da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn Laskey, Kenneth Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool
PublisherSpringer-Verlag GmbH
Number of pages11
ISBN (Print)978-3-540-89765
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg


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