Knowledge Graph Foundations

Villazón-Terrazas, Boris; Garcia-Santa, Nuria; Ren, Yuan; Faraotti, Alessandro; Wu, Honghan; Zhao, Yuting; Vetere, Guido; Pan, Jeff Z.

doi:10.1007/978-3-319-45654-6_2

Cited by 6 publications

(1 citation statement)

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“…However, these data are mostly represented with information models defined without previous agreements or consensus processes with other institutions, which hinders the possibility of using and sharing them within the same organization or with third parties. This lack of adoption of shared models is one of the major causes of inefficiency of information management within large organizations [6]. In this regard, ontologies, defined as formal specifications of shared conceptualizations [7], have been used to describe data without ambiguities.…”

Section: Introductionmentioning

confidence: 99%

The Zaragoza’s Knowledge Graph: Open Data to Harness the City Knowledge

et al. 2020

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Public administrations handle large amounts of data in relation to their internal processes as well as to the services that they offer. Following public-sector information reuse regulations and worldwide open data publication trends, these administrations are increasingly publishing their data as open data. However, open data are often released without agreed data models and in non-reusable formats, reducing interoperability and efficiency in data reuse. These aspects hinder interoperability with other administrations and do not allow taking advantage of the associated knowledge in an efficient manner. This paper presents the continued work performed by the Zaragoza city council over more than 15 years in order to generate its knowledge graph, which constitutes the key piece of their data management system, whose main strengthen is the open-data-by-default policy. The main functionalities that have been developed for the internal and external exploitation of the city’s open data are also presented. Finally, some city council experiences and lessons learned during this process are also explained.

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Section: Introductionmentioning

confidence: 99%