VOAR: A Visual and Integrated Ontology Alignment Environment

Bernardo Severo (1) , Cassia Trojahn dos Santos (2, 3) , Renata Vieira (1)

1 PUC-RS - Pontifícia Universidade Católica do Rio Grande do Sul [Brasil] = Pontifical Catholic University of Rio Grande do Sul [Brazil] = Université catholique pontificale de Rio Grande do Sul [Brésil]
2 IRIT-MELODI - MEthodes et ingénierie des Langues, des Ontologies et du DIscours
3 UT2J - Université Toulouse - Jean Jaurès

Ontology alignment is a key process for enabling interoperability between ontology-based systems in the Linked Open Data age. From two input ontologies, this process generates an alignment (set of correspondences) between them. In this paper we present VOAR, a new web-based environment for ontology alignment visualization and manipulation. Within this graphical environment, users can manually create/edit correspondences and apply a set of operations on alignments (filtering, merge, difference, etc.). VOAR allows invoking external ontology matching systems that implement a specific alignment interface, so that the generated alignments can be manipulated within the environment. Evaluating multiple alignments together against a reference one can also be carried out, using classical evaluation metrics (precision, recall and f-measure). The status of each correspondence with respect to its presence or absence in reference alignment is visually represented. Overall, the main new aspect of VOAR is the visualization and manipulation of alignments at schema level, in an integrated, visual and web-based environment.

Mots clés: Tools; Systems; Applications; Semantic Web

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Bernardo Severo, Cassia Trojahn dos Santos, Renata Vieira. VOAR: A Visual and Integrated Ontology Alignment Environment. Language Resources and Evaluation Conference - LREC 2014, May 2014, Reykjavik, Iceland. pp.3671-3677. ⟨hal-01131889⟩