An Empirical Investigation of Learning From the Semantic Web

Peer reviewed

GraniteNights - A Multi-Agent Visit Scheduler Utilising Semantic Web Technology

Postprint

Semantic Support for Computational Land-Use Modelling

Postprint

Personal Privacy and the Web of Linked Data

Postprint

Assessing the Quality of Semantic Sensor Data

Acknowledgements The research described here is supported by the award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub; award reference: EP/G066051/1

TravelBot: Journey Disruption Alerts Utilising Social Media and Linked Data

Postprint

Learning Meta-Descriptions of the FOAF Network

Postprint

GetThere: A Rural Passenger Information System Utilising Linked Data & Citizen Sensing

Postprint

The Transport Disruption Ontology

Postprint

A Semantic Workflow Mechanism to Realize Experimental Goals and Constraints

Postprint

FEARLUS-G: A Semantic Grid Service for Land-Use Modelling,

Postprint

Semantic Stream Processing for IoT Devices in the Food Safety Domain

Postprint

Utilising Provenance to Enhance Social Computation

Postprint

Trusted Tiny Things : Making Devices in Smart Cities More Transparent

Postprint