Add to ORKGThis 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.</p
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
This Paper represent endpoint application on agriculture semantic web using SPARQL for farmers.It is...
<p>This paper addresses the use of ontologies for combining different sensor data sources to enable ...
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...
In this report we describe results of a one-year TO2 institutes project on the development of big da...
International audienceThe drastic growth in data in the recent years, within the Agronomic sciences ...
International audienceThis paper presents a use case about knowledge representation and integration ...
Abstract. A recurrent issue for data integration is the lack of a common and structured vocabulary u...
The computer science perspective of ontology refers to ontology as a technology, however, with a dif...
A recurrent issue for data integration is the lack of a common and structured vocabulary used by dif...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
This Paper represent endpoint application on agriculture semantic web using SPARQL for farmers.It is...
<p>This paper addresses the use of ontologies for combining different sensor data sources to enable ...
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...
In this report we describe results of a one-year TO2 institutes project on the development of big da...
International audienceThe drastic growth in data in the recent years, within the Agronomic sciences ...
International audienceThis paper presents a use case about knowledge representation and integration ...
Abstract. A recurrent issue for data integration is the lack of a common and structured vocabulary u...
The computer science perspective of ontology refers to ontology as a technology, however, with a dif...
A recurrent issue for data integration is the lack of a common and structured vocabulary used by dif...
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
This Paper represent endpoint application on agriculture semantic web using SPARQL for farmers.It is...