Quality Assessment, Provenance, and the Web of Linked Sensor Data
نویسندگان
چکیده
Chris Baillie ([email protected]) Peter Edwards Edoardo Pignotti This research is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1 Example A web service provides public transport information based on GPS observations (e.g. vehicle locations ) from passengers' mobile phones. The quality of these observations can vary for a number of reasons, e.g. malicious users, poor mobile network coverage, or inaccurate readings. We have developed a quality assessment framework (see below) that uses a number of rules to guide the assessment. The original observations are then annotated with the assessment results.
منابع مشابه
Assessing Quality in the Web of Linked Sensor Data
Assessing the quality of sensor data available on the Web is essential in order to identify reliable information for decision-making. This paper discusses how provenance of sensor observations and previous quality ratings can influence quality assessment decisions.
متن کاملProvenance Information in the Web of Data
The openness of the Web and the ease to combine linked data from different sources creates new challenges. Systems that consume linked data must evaluate quality and trustworthiness of the data. A common approach for data quality assessment is the analysis of provenance information. For this reason, this paper discusses provenance of data on the Web and proposes a suitable provenance model. Whi...
متن کاملContent-Infused OGC Web Services Enabling Dynamic Quality Assessment in Observing Systems
Over the past several years, many Open-Geospatial Consortium (OGC) web services (OWS) have been implemented to deliver observational data products that are well described and discoverable for machine-to-machine harvesting. The OGC Sensor Web Enablement (SWE) framework enables a standardsbased means of fully describing sensor and processing provenance and lineage, providing a means to connect da...
متن کاملA QUAL: A Provenance-Aware Quality Model
In this paper we present a model for quality assessment over linked data. This model has been designed to align with emerging standards for provenance on the Web to enable agents to reason about data provenance when performing quality assessment. The model also enables quality assessment provenance to be represented, thus allowing agents to make decisions about re-use of existing assessments. W...
متن کاملEvaluating Quality using Sensor Metadata and Provenance∗
Assessing the quality of sensor data available on the Web is essential in order to identify reliable information for decision making. This paper discusses how sensor metadata, provenance, and previous quality ratings can influence quality assessment decisions.
متن کاملIntegrating Provenance into the Web of Data
During recent years an increasing number of data providers adopted a set of best practices for publishing and connecting structured data on the Web, leading to the creation of a globally distributed dataspace, the Web of Linked Data [1]. While this dataspace holds an enormous potential, using data from the Web poses questions of information quality and trustworthiness. Provenance information ab...
متن کامل