Domain-independent data processing in an ontology based data access environment using the sosa ontology
conference paper
Data pre-processing, analysis, and quality checks are constantly tailored to a specific data set. Ontology Based Data Access (OBDA) can provide the interoperability layer to apply the same procedure on heterogeneous data sets. The SOSA ontology, for example, provides a domain-independent generalization of sensor measurements, and is already employed in various OBDA applications. Data pre-processing procedures or visualization tools that operate on the SOSA structure can be generally applicable if the data is also structured following the ontology. We have developed a tool to show how to apply simple data analysis and visualizations using SPARQL queries generated real-time. The tool was initially centered around the horticultural domain, but in this demonstration we show how to generalize the technique across domains. The demonstration therefore contributes to the OBDA goals of enabling data quality verification and data analysis by presenting how to apply the same interoperability layer across domains.
Topics
Data analyticsInteroperabilityOntology based data accessSemantic sensor network ontologySOSA ontologyData AnalyticsData handlingData visualizationOntologyQuality controlSemantic WebSensor networksVisualizationData analyticsData preprocessingDomain independentsOntology'sOntology-based data accessSemantic sensorsSensors network
TNO Identifier
968132
ISSN
16130073
Publisher
CEUR-WS
Source title
CEUR Workshop Proceedings, Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge, JOWO 2021, 11 September 2021 through 18 September 2021
Files
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