Sebastian Neumaier

TL;DR: The historical events that lead to the interweaving of data and knowledge are tracked to help improve knowledge and understanding of the world around us.

TL;DR: In this paper, the authors provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.

TL;DR: This work aims at developing a generic metadata quality assessment framework for various Open Data portals by mapping the specific metadata of three widely used portal software frameworks to the standardized Data Catalog Vocabulary metadata schema.

TL;DR: An Open Data Portal Quality (ODPQ) framework that enables end-users to easily and in real-time assess/rank open data portals and reveals that today's organizations do not pay sufficient heed to the management of datasets, resources and associated metadata that they are currently publishing on their portal.

TL;DR: The efforts to monitor and assess the quality of 82 active Open Data portals, powered by organisations across 35 different countries, are presented and findings about a steady growth of information, a high heterogeneity across the portals for various aspects and also insights on openness, contact ability and the availability of meta data are presented.