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Matching biodiversity and ecology ontologies: Challenges and evaluation results

 
: Karam, Naouel; Khiat, Abderrahmane; Algergawy, Alsayed; Sattler, Melanie; Weiland, Claus; Schmidt, Marco

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Preprint urn:nbn:de:0011-n-5864187 (720 KByte PDF)
MD5 Fingerprint: 29d43835105eb799098875e37a898468
Created on: 10.09.2020


The knowledge engineering review 35 (2020), Art. e9
ISSN: 0269-8889
ISSN: 1469-8005
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
03WKDA1F; Qurator
English
Journal Article, Electronic Publication
Fraunhofer FOKUS ()
Fraunhofer IAIS ()

Abstract
Biodiversity research studies the variability and diversity of organisms, including variability within and between species with particular focus on the functional diversity of traits and their relationship to environment. Managing biodiversity data implies dealing with its heterogeneous nature using semantics and tailored ontologies. These are themselves differently conceived, and combining them in semantically enabled applications necessitates an effective alignment between their concepts. This paper describes the ontology matching of biodiversity- and ecology-related ontologies. We illustrate diverse challenges introduced by this kind of ontologies to ontology matching in general. Real use cases requiring pairwise alignments between environment and trait ontologies are introduced. We describe our experience creating a new track at the Ontology Alignment Evaluation Initiative designed for this specific domain and report on the results obtained by state-of-the-art participating systems. The biodiversity and ecology use case turns out to be a strong one for ontology matching, introducing new interesting challenges. Even if most of the matching systems perform relatively well in the proposed matching tasks, there is still room for improvement. We highlight possible directions in that matter and elaborate on our plan to further progress with the track.

: http://publica.fraunhofer.de/documents/N-586418.html