Ojo, Adegboyega and Sennaike, Oladipupo A. (2020) Constructing Knowledge Graphs from Data Catalogues. Lecture Notes in Computer Science, 11969. pp. 94-107. ISSN 0302-9743

Preview

Download (2MB) | Preview

Abstract

We have witnessed about a decade’s effort in opening up government institutions around the world by making data about their services, performance and programmes publicly available on open data portals. While these efforts have yielded some economic and social value particularly in the context of city data ecosystems, there is a general acknowledgment that the promises of open data are far from being realised. A major barrier to better exploitation of open data is the difficulty in finding datasets of interests and those of high value on data portals. This article describes how the implicit relatedness and value of datasets can be revealed by generating a knowledge graph over data catalogues. Specifically, we generate a knowledge graph based on a self-organizing map (SOM) constructed from an open data catalogue. Following this, we show how the generated knowledge graph enables value characterisation based on sociometric profiles of the datasets as well as dataset recommendation.

Item Type:	Article
Keywords:	Open data; Knowledge graphs; Self-organising maps; Dataset recommendation; Dataset value;
Academic Unit:	Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI Faculty of Social Sciences > School of Business
Item ID:	15795
Identification Number:	https://doi.org/10.1007/978-3-030-36987-3_6
Depositing User:	Adegboyega Ojo
Date Deposited:	11 Apr 2022 14:02
Journal or Publication Title:	Lecture Notes in Computer Science
Publisher:	Springer Verlag
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads