Abstract
Agents in open systems interact continuously, each
possibly having a different ontology. Mapping in advance
all the ontologies that an agent can encounter is
not feasible, as all the possible combinations cannot be
foreseen. Mapping complete ontologies at run time is
a computationally expensive task. This paper proposes
a framework in which mappings between terms may be
hypothesised dynamically as the terms are encountered
during interaction. In this way, the interaction itself de-
fines the context in which small, relevant portions of
ontologies are mapped. We use this way of scoping the
ontology mapping problem in order to apply mapping
heuristics in a more focused way.
Original language | English |
---|---|
Title of host publication | 2005 AAAI Workshop |
Editors | Pavel Shvaiko |
Publisher | AAAI Press |
Number of pages | 4 |
ISBN (Print) | 978-1-57735-237-2 |
Publication status | Published - 2005 |