The eLOD Ontology: Modeling Economic Open Data - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2016

The eLOD Ontology: Modeling Economic Open Data

Abstract

For decades, valuable economic data was out of reach for most of the people. Gradually, public budgets and tenders are becoming openly available and global initiatives promote financial transparency and data innovation. But, yet the poor quality of open data undermines their potential to answer interesting questions (e.g. efficiency of public funds and market processes). The eLOD ontology has been initiated as a top-level conceptualization that interlinks the publicly available economic open data by modelling the flows incorporated in public procurement together with the market process to address complex policy issues. This paper presents the basic aspects of eLOD ontology in interlinking and querying diverse open data ranging from budget execution to prices. Already, eLOD ontology is used by two EU projects in order to to develop new systems, to enable information exchange between systems, to integrate data from heterogeneous sources and to publish open data related to economic activities.
Fichier principal
Vignette du fichier
430537_1_En_11_Chapter.pdf (272.93 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01557596 , version 1 (06-07-2017)

Licence

Attribution

Identifiers

Cite

Michalis Vafopoulos, Gerasimos Razis, Ioannis Anagnostopoulos, Georgios Vafeiadis, Dimitrios Negkas, et al.. The eLOD Ontology: Modeling Economic Open Data. 12th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2016, Thessaloniki, Greece. pp.119-130, ⟨10.1007/978-3-319-44944-9_11⟩. ⟨hal-01557596⟩
65 View
173 Download

Altmetric

Share

Gmail Facebook X LinkedIn More