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Erschienen in:
2015 | OriginalPaper | Buchkapitel
GENOMA: GENeric Ontology Matching Architecture
verfasst von : Roberto Enea, Maria Teresa Pazienza, Andrea Turbati
Erschienen in: AI*IA 2015 Advances in Artificial Intelligence
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Even though a few architectures exist to support the difficult ontology matching task, it happens often they are not reconfigurable (or just a little) related to both ontology features and applications needs.
We introduce GENOMA, an architecture supporting development of Ontology Matching (OM) tools with the aims to reuse, possibly, existing modules each of them dealing with a specific task/subtasks of the OM process. In GENOMA flexibility and extendibility are considered mandatory features along with the ability to parallelize and distribute the processing load on different systems. Thanks to a dedicated graphical user interface, GENOMA can be used by expert users, as well as novice, that can validate the resulting architecture.
We highlight as main features of developed architecture:
to select, combine and set different parameters
to evaluate the matching tool applied to big size ontologies
efficiency of the OM tool
automatic balancing of the processing load on different systems