Title
Ontology Matching for Big Data Applications in the Smart Dairy Farming Domain.
Author
Verhoosel, J.P.C.
van Bekkum, M.A.
van Evert, F.K.
Publication year
2015
Abstract
This paper addresses the use of ontologies for combining different sensor data sources to enable big data analysis in the dairy farming domain. We have made existing data sources accessible via linked data RDF mechanisms using OWL ontologies on Virtuoso and D2RQ triple stores. In addition, we have created a common ontology for the domain and mapped it to the existing ontologies of the different data sources. Furthermore, we verified this mapping using the ontology matching tools HerTUDA, AML, LogMap and YAM++. Fi-nally, we have enabled the querying of the combined set of data sources using SPARQL on the common ontology.
Subject
ICT
DS - Data Science
TS - Technical Sciences
Informatics
Industrial Innovation Information Society
Big data analysis
Ontoloy
Dairy farming
Data handling
Ontology
Semantic Web
Big data applications
Dairy farming
Data-sources
Linked datum
Ontology matching
OWL ontologies
Sensor data
Triple store
Big data
To reference this document use:
http://resolver.tudelft.nl/uuid:6c0351bc-8537-4881-b664-25b9fb5d89bc
TNO identifier
536599
Source
10th International Workshop on Ontology Matching, OM 2015, 12 October 2015: 11 October 2015 in conjunction with the ISWC Conference 2016, Bethlehem, USA, 1545, 55-59
Series
CEUR Workshop Proceedings
Document type
conference paper