Name
Abstract | ||
|---|---|---|
We provide the formal foundation of a novel approach to tackle semantic heterogeneity in multi-agent communication by looking at semantics related to interaction in order to avoid dependency on a priori semantic agreements. We do not as- sume existence of any ontologies, neither local to interact- ing agents nor external to them, and we rely only on in- teractions themselves to resolve terminological mismatches. In the approach taken in this paper we look at the seman- tics of messages that are exchanged during an interaction en- tirely from an interaction-specific point of view: messages are deemed semantically related if they trigger compatible inter- action state transitions—where compatibility means that the interaction progresses in the same direction for each agent, albeit their partial view of the interaction (their interaction model) may be more simple than the interaction that is actu- ally happening. Our underlying claim is that semantic align- ment is often relative to the particular interaction in which agents are engaged in, and, that in such cases the interaction state should be taken into account and brought into the align- ment mechanism. |
Year | Venue | Keywords |
|---|---|---|
2008 | ISAIM | state transition |
Field | DocType | Citations |
Ontology (information science),Situated,Data mining,Computer science,A priori and a posteriori,Semantic alignment,Interaction model,Human–computer interaction,Semantic heterogeneity,Semantics | Conference | 4 |
PageRank | References | Authors |
0.51 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Atencia | 1 | 88 | 10.79 |
| W. Marco Schorlemmer | 2 | 1113 | 85.18 |