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Journal on Data Semantics

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19.11.2018 | Original Article

Dealing with Direct and Indirect Ontology Alignment

verfasst von: Marouen Kachroudi, Sadok Ben Yahia

Erschienen in: Journal on Data Semantics | Ausgabe 4/2018

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Abstract

Ontology alignment is grasping an increasing attention topic. Indeed, it is a palliating issue to the heterogeneity problem that arises among the semantic web data. In this respect, a steady effort within the knowledge management community, and ontology alignment in particular, is carried out to meet the thriving raised challenges. Indeed, it is of paramount importance to overcome the natural language barrier as well as the produced alignments reuse and exploitation. As far as the challenging cited issues are both intrinsically related to the basic alignment problem, our contribution aims to provide a framework encompassing two alignment systems. The first one is dedicated to direct cross-lingual ontology alignment. The second one treats the indirect ontology alignment issue. The underlying idea of our approach is that the linguistic heterogeneity and its after-effect are reduced thanks to well-defined techniques use and harmonization. Those techniques endow our methods with more efficiency and accuracy in the candidate mappings detection phase. In the same way, we introduce an alignment composition system in order to valorize existing ones by producing indirectly computed alignments. We evaluated our contribution in various tracks and obtained a high-quality encouraging results.

Vorheriger Artikel Imaging Biomarker Ontology (IBO): A Biomedical Ontology to Annotate and Share Imaging Biomarker Data

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Titel: Dealing with Direct and Indirect Ontology Alignment
verfasst von: Marouen Kachroudi
Sadok Ben Yahia
Publikationsdatum: 19.11.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal on Data Semantics / Ausgabe 4/2018
Print ISSN: 1861-2032
Elektronische ISSN: 1861-2040
DOI: https://doi.org/10.1007/s13740-018-0098-y

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