Methods and Tools for Publishing and Reusing Linked Open Statistical Data

The number of open data available for reuse is rapidly increasing. A large number of these data are numerical thus can be easily visualized. Linked open data technology enables easy reuse and linking of data residing in different locations. In this workshop, we will present a number of technologies and tools that are currently under development for visualizing linked open statistical data. We will demonstrate the use of these technologies and tools to visualize open data obtained from various European Union Member States ministries and other organizations. We will also give the workshop participants the opportunity to use these tools thus obtaining a personal experience on their capabilities.


INTRODUCTION
e amount of open data is rapidly increasing. Publishing data however does not automatically transform to bene ts [3]. From a technological perspective, Linked Open Data are considered as the highest level of open data maturity. Lately, W3C published the RDF Data Cube (RDF qb) vocabulary in an a empt to integrate LOD Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for pro t or commercial advantage and that copies bear this notice and the full citation on the rst page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s with the data cube mode, usually employed in data warehouses and business intelligence [4]. As many open data is numerical, it makes sense to use RDF qb for publishing numerical open data, such as statistics. However, as this technology is emerging we are lacking methods and tools to manage Linked Open Statistical Data (LOSD). A few projects have been funded to close this gap. In this workshop, one of these projects, namely OpenGovIntelligence, will present its methods and tools.

THE OPENGOVINTELLIGENCE PROJECT
e work presented in this workshop is conducted within the European Union funded project OpenGovIntelligence (OpenGovIntelligence.eu) [2]. is project continues work that started within the European Union funded project OpenCube (opencube-project.eu) [1].
e OpenGovIntelligence project aims at stimulating sustainable economic growth in Europe through fostering innovation in society and enterprises. Towards this end, OpenGovIntelligence suggests a holistic approach for the modernization of Public Administration (PA) by exploiting Linked Open Statistical Data (LOSD) technologies. is includes new business processes, policies, and tools that will enable the active participation of the society and enterprises in data sharing and in the co-production of innovative data-driven public services. e project objectives include: • e identi cation of challenges in opening up and exploiting LOSD for the co-production of innovative data-driven public services.
• e creation of a framework comprising business processes, policies, and data infrastructure architectures.
• e delivery of the OpenGovIntelligece ICT toolkit comprising easy-to-use and user-centric tools to facilitate realizing a sustainable LOSD Innovation Ecosystem.

WORKSHOP FORMAT
We propose a 2-3 hour workshop. e workshop will consist of short presentations, a hands-on session and time for discussions. A tentative workshop programme follows.
(1) Welcome and brief presentation of the participants.
(2) Brief presentation of the OpenGovIntelligence project.

WORKSHOP FACILITATORS
e workshop will have a moderator and four presenters. Short bios of all participants follow.

Moderator
Ass. Prof. E himios Tambouris is Associate Professor of Information Systems and eGovernment at the Applied Informatics Department of the University of Macedonia, Greece. Before that, he served at research centers CERTH/ITI and NCSR Demokritos as well as the IT industry. He holds a Diploma in Electrical Engineering from NTUA, Greece, and an MSc and PhD from Brunel University, UK. During the last twenty years, he has initiated, coordinated and participated in several international research projects and service contracts. He has served as an expert in standardisation activities at CEN and is a reviewer for the European Commission. He has more than 150 research publications.

Workshop Presenters
Dr. Evangelos Kalampokis is an Adjunct Lecturer at the Business Administration Dept. of the University of Macedonia, Greece and a research fellow with Information Systems Lab at the same university. During the last nine years, he has initiated and worked in several EU funded research projects such as H2020 OpenGovIntelligence and FP7 OpenCube. Between 2009 and 2011 he has been a research intern at DERI-NUIG, the largest Semantic Web Research centre worldwide. He has published in high impact journals including IEEE Intelligent Systems, Internet Research, and the Journal of Biomedical Informatics. He is a co-chair at the SemStats workshop, which is co-located with the International Semantic Web Conference. More information: h p://kalampok.is. Prof