Work

Linked Open Data for Public Procurement

Year: 2014

Type: conference-paper

Abstract: Public procurement is an area that could largely benefit from linked open data technology. The respective use case of the LOD2 project covered several aspects of applying linked data on public contracts: ontological modeling of relevant concepts (Public Contracts Ontology), data extraction from existing semi-structured and structured sources, support for matchmaking the demand and supply on the procurement market, and aggregate analytics. The last two, end-user oriented, functionalities are framed by a specifically designed (prototype) web application. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-09846-3_10

Authors: Vojtěch Svátek, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap, Martin Nečaský

Institutions: Prague University of Economics and Business, Czech Technical University in Prague, Charles University

Language: English

Topic: Semantic Web and Ontologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $5,392

OpenAlex ID: W2179865638