Recently the Ontology Mapping Problem (OMP) has been identified as a key factor towards the success of the Semantic Web and related applications. This problem arises since it is possible for different people to give, through ontologies, different conceptualizations of the same (or overlapping) knowledge domain. In order to tackle the OMP several algorithms have been designed. They aim at discovering correspondences (aka mappings) between ontology entities. However, these algorithms mostly suffer from the following shortcomings: (i) do not allow to quickly combine and/or compare different mapping strategies; (ii) do not offer support for evaluating mapping strategies in terms of quality of results and performance. In this paper we present a plugin-based system called UFOme along with its current implementation. We illustrate how it can be exploited to graphically design mapping tasks by connecting different types of modules. UFOme provides three categories of modules. The first one (i.e., visualization) allows to explore the ontologies to be mapped. The second one (i.e., matching) provides different types of individual matchers, exploited to discover mappings between ontologies, and a module for combining them. The third one (i.e., evaluation) enables to evaluate each module of the mapping task, a sub mapping task, or the mapping task in the whole w.r.t performance and quality of results.

UFOme: A user friendly ontology mapping environment / Pirro', Giuseppe; Talia, D.. - 314:(2008). ((Intervento presentato al convegno 4th Italian Workshop on Semantic Web Applications and Perspectives, SWAP 2007 tenutosi a Bari, ita.

UFOme: A user friendly ontology mapping environment

Pirro' Giuseppe
;
2008

Abstract

Recently the Ontology Mapping Problem (OMP) has been identified as a key factor towards the success of the Semantic Web and related applications. This problem arises since it is possible for different people to give, through ontologies, different conceptualizations of the same (or overlapping) knowledge domain. In order to tackle the OMP several algorithms have been designed. They aim at discovering correspondences (aka mappings) between ontology entities. However, these algorithms mostly suffer from the following shortcomings: (i) do not allow to quickly combine and/or compare different mapping strategies; (ii) do not offer support for evaluating mapping strategies in terms of quality of results and performance. In this paper we present a plugin-based system called UFOme along with its current implementation. We illustrate how it can be exploited to graphically design mapping tasks by connecting different types of modules. UFOme provides three categories of modules. The first one (i.e., visualization) allows to explore the ontologies to be mapped. The second one (i.e., matching) provides different types of individual matchers, exploited to discover mappings between ontologies, and a module for combining them. The third one (i.e., evaluation) enables to evaluate each module of the mapping task, a sub mapping task, or the mapping task in the whole w.r.t performance and quality of results.
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1655450
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact