Congress of the Italian Association for Artificial Intelligence

AI*IA 2015 Advances in Artificial Intelligence pp 303-315 | Cite as

GENOMA: GENeric Ontology Matching Architecture

  • Roberto Enea
  • Maria Teresa Pazienza
  • Andrea Turbati
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9336)


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


Ontology matching Evaluation Architecture 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Roberto Enea
    • 1
  • Maria Teresa Pazienza
    • 1
  • Andrea Turbati
    • 1
  1. 1.DII, ART GroupUniversity of Rome, Tor VergataRomeItaly

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