Name
Abstract | ||
|---|---|---|
Ontology matching is currently a key technology to achieve the semantic alignment of ontological entities used by knowledge-based applications, and therefore to enable their interoperability in distributed environmentssuch asmulti-agentsystems. Mostontologymatchingmechanisms, however, assumematch- ing prior integration and rely on semantics that has been coded a priori in concept hierarchies or external sources. We present a formal model for a semantic alignment procedure that incrementally aligns differing conceptualisations of two or more agents relative to their respective perception of the environment or do- main they are acting in. It hence makes the situation in which the alignment occurs explicit in the model. We resort to Channel Theory to carry out the formalisation. |
Year | Venue | Keywords |
|---|---|---|
2006 | EUMAS | knowledge base,ontology matching |
Field | DocType | Citations |
Ontology (information science),Situated,Ontology alignment,Computer science,Semantic alignment,Knowledge management,Natural language processing,Artificial intelligence,Upper ontology | Conference | 0 |
PageRank | References | Authors |
0.34 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Atencia | 1 | 88 | 10.79 |
| W. Marco Schorlemmer | 2 | 1113 | 85.18 |