Abstract
Abstract. A growing number of spatial datasets are published every year. These can usually be found in dedicated web portals with different structures and specificities. However, finding the dataset that fits user needs is a real challenge as prior knowledge of these portals is needed to retrieve it efficiently. In this article, we present the problem of spatial dataset search and how the use of a geographic Knowledge Graph could improve it. A proposed direction for future work, extending these contributions, is then presented.
Highlights
Introduction and Motivations1.1 IntroductionWith more and more government agencies and private entities adopting open data policies, the number of available datasets on the Web has grown exponentially, including spatial datasets
In the remaining of the paper, we analyse what categories of information and associated operations must be represented in a Knowledge Graph dedicated to spatial dataset search and present the first results of building such a knowledge graph reusing existing resources on the web like metadata and ontologies
This paper focuses on the design of an open Knowledge Graph dedicated to search for spatial datasets
Summary
With more and more government agencies and private entities adopting open data policies, the number of available datasets on the Web has grown exponentially, including spatial datasets. Retrieving the appropriate spatial dataset for an application is becoming an important issue, for example, appropriate topographic data to register GPS tracks, or the relevant training and running spatial data for a machine learning algorithm This search of spatial datasets starts with the discovery of appropriate catalogues. Contributions come from the development of the Web of data with more generic and widely adopted metadata standards for open data sets such as DCAT (W3C et al (2014)) or its profile DCAT-AP1. Based on such standards, providers document their datasets, and catalogues process the corresponding metadata to support discovery, evaluation and reuse of datasets, like the European Data Portal (EDP).
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