Construction of Linked Data Platform Implementing Feedback Data Model of Usage Records

Author(s):  
Makoto Urakawa ◽  
Kenichi Arai ◽  
Toru Kobayashi
Semantic Web ◽  
2021 ◽  
pp. 1-27
Author(s):  
Ahmet Soylu ◽  
Oscar Corcho ◽  
Brian Elvesæter ◽  
Carlos Badenes-Olmedo ◽  
Tom Blount ◽  
...  

Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, open data initiatives and integration of data from multiple sources across national borders could transform the procurement market by such as lowering the barriers of entry for smaller suppliers and encouraging healthier competition, in particular by enabling cross-border bids. Increasingly more open data is published in the public sector; however, these are created and maintained in siloes and are not straightforward to reuse or maintain because of technical heterogeneity, lack of quality, insufficient metadata, or missing links to related domains. To this end, we developed an open linked data platform, called TheyBuyForYou, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed advanced tools and services on top of the knowledge graph for anomaly detection, cross-lingual document search, and data storytelling. This article describes the TheyBuyForYou platform and knowledge graph, reports their adoption by different stakeholders and challenges and experiences we went through while creating them, and demonstrates the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.


Author(s):  
Qingling Chang ◽  
Shiting Xu ◽  
Yuanchun Zhou ◽  
Jing Shao ◽  
Jianhui Li ◽  
...  
Keyword(s):  

Author(s):  
Muntazir Mehdi ◽  
Yasar Khan ◽  
Andre Freitas ◽  
Joao Jares ◽  
Stefan Decker ◽  
...  

2016 ◽  
Vol 59 (2) ◽  
pp. 42-55 ◽  
Author(s):  
ADAM RABINOWITZ ◽  
RYAN SHAW ◽  
SARAH BUCHANAN ◽  
PATRICK GOLDEN ◽  
ERIC KANSA

Abstract The PeriodO project seeks to fill a gap in the landscape of digital antiquity through the creation of a Linked Data gazetteer of period definitions that transparently record the spatial and temporal boundaries assigned to a given period by an authoritative source. Our presentation of the PeriodO gazetteer is prefaced by a history of the role of periodization in the study of the past, and an analysis of the difficulties created by the use of periods for both digital data visualization and integration. This is followed by an overview of the PeriodO data model, a description of the platform's architecture, and a discussion of the future direction of the project.


2013 ◽  
Vol 64 (2-3) ◽  
Author(s):  
Stefan Gradmann ◽  
Julia Iwanowa ◽  
Evelyn Dröge ◽  
Steffen Hennicke ◽  
Violeta Trkulja ◽  
...  

Im Artikel werden laufende Arbeiten und Ergebnisse der Forschergruppe Wissensmanagement beschrieben. Diese entstanden vor allem durch die am Lehrstuhl Wissensmanagement angesiedelten Projekte Europeana v2.0, Digitised Manuscripts to Europeana (DM2E) sowie von Teilprojekten des vor kurzem gestarteten DFG-Exzellenzclusters Bild Wissen Gestaltung. Die Projekte befassen sich mit Spezialisierungen des Europeana Data Model, der Umwandlung von Metadaten in RDF und der automatisierten und nutzerbasierten semantischen Anreicherung dieser Daten auf Basis eigens entwickelter oder modifizierter Anwendungen sowie der Modellierung von Forschungsaktivitäten, welche derzeit auf die digitale Geisteswissenschaft zugeschnitten ist. Allen Projekten gemeinsam ist die konzeptionelle oder technische Modellierung von Informationsentitäten oder Nutzeraktivitäten, welche am Ende im Linked Data Web repräsentiert werden.


2018 ◽  
Vol 42 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Pasquale Lisena ◽  
Manel Achichi ◽  
Pierre Choffé ◽  
Cécile Cecconi ◽  
Konstantin Todorov ◽  
...  
Keyword(s):  

Abstract DOREMUS works on a better description of music by building new tools to link and explore the data of three French institutions. This paper gives an overview of the data model based on FRBRoo explaining the conversion and linking processes using linked data technologies and presenting the prototypes created to consume the data according to the web users’ needs.


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