Modeling, Fusion and Exploration of Regional Statistics and Indicators with Linked Data Tools

Autor:	Valentina Janev, Dejan Paunović, Uroš Milošević, Vuk Mijović
Rok vydání:	2014
Předmět:	Government business.industry Computer science Process (engineering) Component (UML) Public sector Linked data Transparency (human–computer interaction) business Data science Hierarchical database model Visualization
Zdroj:	Electronic Government and the Information Systems Perspective ISBN: 9783319101774 EGOVIS
Popis:	This paper contributes to the understanding of challenges related to publishing and consuming public sector information using Linked Data tools. Linked Data paradigm has opened new possibilities and perspectives for the process of collecting and monitoring socio-economic indicators. Due to multidimensionality of the statistical data, in order to ensure efficient exploration and analysis, hierarchical data structures are needed for modeling the space and time dimensions. This paper presents several illustrative examples of modeling, analyzing and visualization of Linked Data from Serbian government bodies. The approach utilizes tools from the Linked Data stack, as well as the first prototype of the Exploratory Spatio-Temporal Analysis component that has been developed in the GeoKnow project framework.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::66eecaf2769328b873f4e31a4380e97c https://doi.org/10.1007/978-3-319-10178-1_17 Zobrazit plný text záznamu