A Data-Driven Model for Linking Open Economic Information

被引：0

作者：

Vafopoulos, M. ^{[1
]}

Koukourikos, A. ^{[1
]}

Vafeiadis, G. ^{[1
]}

Negkas, D. ^{[2
]}

Skaros, I. ^{[2
]}

Tzani, A. ^{[2
]}

机构：

[1] Natl Ctr Sci Res Demokritos, Inst Informat & Telecommun, Aghia Paraskevi, Greece

[2] Univ Piraeus, Piraeus, Greece

来源：

INTERNET SCIENCE | 2017年 / 10673卷

基金：

欧盟地平线“2020”;

关键词：

Open data; Linked Data; Semantic web; Economy; Public procurement; Prices; Circular financial flow model; BIG DATA; ANALYTICS; SCIENCE;

D O I：

10.1007/978-3-319-70284-1_25

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

While public finance data are becoming openly available as part of the broader promotion of fiscal transparency, there is little effort towards maximizing their potential value by interlinking them under a concrete framework and establishing the means to extract interesting insights. The Linked Open Economy model (LOE) aims to act as a top-level conceptualization that connects economic flows with open economic data and as an adaptable and extensible underlying model for modelling different scenarios. The paper presents the LOE model, emphasizing its theoretical foundations. Furthermore, it presents the usage of the model in realistic settings, showcasing its extensibility and its ability to address interesting questions.

引用

页码：329 / 343

页数：15

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