Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …

The increasing variety of Linked Data on the Web makes it challenging to determine the
quality of this data and, subsequently, to make this information explicit to data consumers …

Practical approaches for managing and supporting the life-cycle of semantic content on the
Web of Data have recently made quite some progress. In particular in the area of the user …

This paper introduces DataGraft (https://datagraft. net/)–a cloud-based platform for data
transformation and publishing. DataGraft was developed to provide better and easier to use …

Although the Semantic Web data standards are established, ontology-based applications
built on the standards are relatively limited. This is partly due to high learning curve and …

The increasing variety of Linked Data on the Web makes it challenging to determine the
quality of this data, and subsequently to make this information explicit to data consumers …

Data streams are becoming omnipresent on the Web. The Stream Reasoning (SR)
paradigm, which combines Stream Processing with Semantic Web techniques, has been …

There is a high public demand to increase transparency in government spending. Open
spending data has the power to reduce corruption by increasing accountability and …

To reduce the complexity intrinsic to LD manipulation, software tools are used to publish or
consume data associated to LD activities. However, few developers have a broad …