Title
Domain-independent data processing in an ontology based data access environment using the sosa ontology
Author
Bouter, C.
Kruiger, H.
Verhoosel, J.P.C.
Publication year
2021
Abstract
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.
Subject
Data analytics
Interoperability
Ontology based data access
Semantic sensor network ontology
SOSA ontology
Data Analytics
Data handling
Data visualization
Ontology
Quality control
Semantic Web
Sensor networks
Visualization
Data analytics
Data preprocessing
Domain independents
Ontology's
Ontology-based data access
Semantic sensors
Sensors network
To reference this document use:
http://resolver.tudelft.nl/uuid:d9cd35df-c5bb-4a5d-a359-560a3064345f
TNO identifier
968132
Publisher
CEUR-WS
ISSN
1613-0073
Source
CEUR Workshop Proceedings, Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge, JOWO 2021, 11 September 2021 through 18 September 2021
Document type
conference paper