Contribution to a conference proceedings/Contribution to a book

FZJ-2018-01548

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Ontologies for resolving semantic heterogeneity in information integration among plant phenomics databases

Nafissi, A. (Corresponding author)FZJ* ; Bruns, B.FZJ* ; Fiorani, F.FZJ*

2018
Ges. für Informatik Bonn
ISBN: 978-3-88579-672-5

Please use a persistent id in citations: http://hdl.handle.net/2128/17573

Abstract: Increasing amounts of heterogeneous data are produced every year by plant researchers. For data management relational databases with application-specific schemas are mainly used in this field. However, due to absence of widely shared standards, data integration and exchange between independently developed and heterogeneous databases becomes very challenging. A critical point is to achieve semantic interoperability among these databases. The authors propose to use Semantic Web features for this integration task. Ontologies are the main core of the Semantic Web and are suitable to resolve semantic heterogeneity. In this work a semi-automated ontology based approach is defined for integrating heterogeneous data stored in distributed phenomics databases. The results of a real-world case study show that this approach creates reasonable semantic correspondences between domain-specific databases and publicly available ontologies and can significantly save time compared to classic (specification-driven) engineering approaches.

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Contributing Institute(s):

1. Pflanzenwissenschaften (IBG-2)

Research Program(s):

1. 582 - Plant Science (POF3-582) (POF3-582)

Appears in the scientific report 2018

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Database coverage:

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