TY  - CONF
AU  - Nafissi, Anahita
AU  - Bruns, Benjamin
AU  - Fiorani, Fabio
TI  - Ontologies for resolving semantic heterogeneity in information integration among plant phenomics databases
VL  - 278
CY  - Bonn
PB  - Ges. für Informatik
M1  - FZJ-2018-01548
SN  - 978-3-88579-672-5
T2  - Lecture Notes in Informatics
SP  - 167 - 170
PY  - 2018
AB  - 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.
T2  - 38. GIL-Jahrestagung
CY  - 26 Feb 2018 - 27 Feb 2018, Kiel (Germany)
Y2  - 26 Feb 2018 - 27 Feb 2018
M2  - Kiel, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - https://juser.fz-juelich.de/record/844032
ER  -