Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

Lots of data from different domains are published as Linked Open Data (LOD). While there
are quite a few browsers for such data, as well as intelligent tools for particular purposes, a …

Advances in semantic web technologies have rocketed the volume of linked data published
on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a …

Abstract The Linked Data paradigm has made significant inroads into research and practice
around spatial information and it is time to reflect on what this means for GIScience …

Historical maps provide rich information for researchers in many areas, including the social
and natural sciences. These maps contain detailed documentation of a wide variety of …

The purpose of this paper is to explore the field of open development in lower and middle
income countries (LMIC) through a review of the literature. We examined 269 articles …

Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned
with deriving higher-level insights from data. The tasks performed in this field are knowledge …

Geospatial semantics as a research field studies how to publish, retrieve, reuse, and
integrate geo-data, how to describe geo-data by conceptual models, and how to develop …

The linked data Web provides a simple and flexible way of accessing information resources
in a self-descriptive format. This offers a realistic chance of perforating existing data silos …

Abstract Since 2012, the Semantic Web journal has been accepting papers in a novel
Linked Dataset description track. Here we motivate the track and provide some analysis of …