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
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
This chapter presents an application in the field of food safety using an ontology-based data integr...
This paper addresses the use of ontologies for combining different sensor data sources to enable big...
In the Dutch SmartDairyFarming project, better decision support for the dairy farmer on daily questi...
In the Dutch SmartDairyFarming project, main dairy industry organizations like FrieslandCampina, Agr...
In this thesis the Semantic Web and its core technology---Web Ontology Language (OWL)---were studied...
This webpage, published in the site of the CGIAR Platform for big data in agriculture (https://bigda...
Abstract. A recurrent issue for data integration is the lack of a common and structured vocabulary u...
International audienceThe drastic growth in data in the recent years, within the Agronomic sciences ...
In this report we describe results of a one-year TO2 institutes project on the development of big da...
International audienceThis paper presents a use case about knowledge representation and integration ...
A recurrent issue for data integration is the lack of a common and structured vocabulary used by dif...
The computer science perspective of ontology refers to ontology as a technology, however, with a dif...
This Paper represent endpoint application on agriculture semantic web using SPARQL for farmers.It is...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
This chapter presents an application in the field of food safety using an ontology-based data integr...
This paper addresses the use of ontologies for combining different sensor data sources to enable big...
In the Dutch SmartDairyFarming project, better decision support for the dairy farmer on daily questi...
In the Dutch SmartDairyFarming project, main dairy industry organizations like FrieslandCampina, Agr...
In this thesis the Semantic Web and its core technology---Web Ontology Language (OWL)---were studied...
This webpage, published in the site of the CGIAR Platform for big data in agriculture (https://bigda...
Abstract. A recurrent issue for data integration is the lack of a common and structured vocabulary u...
International audienceThe drastic growth in data in the recent years, within the Agronomic sciences ...
In this report we describe results of a one-year TO2 institutes project on the development of big da...
International audienceThis paper presents a use case about knowledge representation and integration ...
A recurrent issue for data integration is the lack of a common and structured vocabulary used by dif...
The computer science perspective of ontology refers to ontology as a technology, however, with a dif...
This Paper represent endpoint application on agriculture semantic web using SPARQL for farmers.It is...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
This chapter presents an application in the field of food safety using an ontology-based data integr...