LinkED: A Novel Methodology for Publishing Linked Enterprise Data

Towards a methodology for publishing Linked Open Statistical Data

The number of open government initiatives and directives around the globe with focused interest on publishing large amounts of data on the Web as “open” is increasing rapidly in the recent years. Opening up data aims for citizens, scientists and organizations to easily access, discover and exploit the data and consequently to benefit out of them. As a result, there has been an emerging need of ...

Publishing Linked Sensor Data

This paper describes a linked-data platform to publish sensor data and link them to existing resource on the semantic Web. The linked sensor data platform, called Sense2Web supports flexible and interoperable descriptions and provide association of different sensor data ontologies to resources described on the semantic Web and the Web of data. The current advancements in (wireless) sensor netwo...

A Publishing Pipeline for Linked Government Data

We tackle the challenges involved in converting raw government data into high-quality Linked Government Data (LGD). Our approach is centred around the idea of self-service LGD which shifts the burden of Linked Data conversion towards the data consumer. The selfservice LGD is supported by a publishing pipeline that also enables sharing the results with sufficient provenance information. We descr...

Publishing and Consuming Linked Data

Publishing Linked Data with DaPress

The central idea of the Web of Data is to interlink the information available in the Web, most of which is actually stored in databases rather than in static HTML pages. Tools to convert relational data into semantic web formats and publish then as linked data are essential to fulfill the vision of a web of data available for automatic processing, as web content is currently available to humans...