Visible to the public An interoperable approach for Sensor Web provenance

TitleAn interoperable approach for Sensor Web provenance
Publication TypeConference Paper
Year of Publication2017
AuthorsJiang, L., Kuhn, W., Yue, P.
Conference Name2017 6th International Conference on Agro-Geoinformatics
Date Publishedaug
Keywordscomplex information space, composability, compositionality, Data analysis, Data models, Human Behavior, human factors, Internet, interoperability, interoperable approach, Linked data, linked data approach, Metrics, Ontologies, open systems, OWL, Provenance, provenance information, provenance model, pubcrawl, Resiliency, Semantic Web, Semantic Web technologies, sensor observation data, sensor observations, Sensor Web, Sensor Web domain vocabularies, Sensor Web provenance, usability, Vocabulary, W3C, W3C PROV, W3C PROV data model

The Sensor Web is evolving into a complex information space, where large volumes of sensor observation data are often consumed by complex applications. Provenance has become an important issue in the Sensor Web, since it allows applications to answer "what", "when", "where", "who", "why", and "how" queries related to observations and consumption processes, which helps determine the usability and reliability of data products. This paper investigates characteristics and requirements of provenance in the Sensor Web and proposes an interoperable approach to building a provenance model for the Sensor Web. Our provenance model extends the W3C PROV Data Model with Sensor Web domain vocabularies. It is developed using Semantic Web technologies and thus allows provenance information of sensor observations to be exposed in the Web of Data using the Linked Data approach. A use case illustrates the applicability of the approach.

Citation Keyjiang_interoperable_2017