Test Case on European National l Accounts (S (Session 12c) Mr Mr - PowerPoint PPT Presentation

A Web-Semantic Data-Warehouse Approach To The Compilation Of f National Accounts: A Test Case on European National l Accounts (S (Session 12c) Mr Mr Dr Roberto Prof. Bo Dr Boris François Dominique Barcellan Sundgren Motik By: Libeau Ladiray Brussels, Belgium, 10-12 March 2015. 1

: : Mod odernis isation of of Statistical Processes WHAT  In the aftermath of the financial and economic crisis, NSOs and international statistical organisations launched modernisation programmes  To address the gaps highlighted by the crisis  To be ready to match the new evolving users' requirements WHY  Get quick and ad hoc information, often across domains, to face major events  Decrease response burden by making data widely available in a reliable way  Implement ICT methods and tools to increase efficiency 2

: A Coll llaborati tive Approach  Consequences for European Statistics:  Member States: holistic integration of information systems, throughout the production chain  EU level: foster the implementation of collaborative networks  ESS initiatives  Communication on the production method of European statistics: a vision for the next decade”, COM (2009)404, August 2009 - Vision  ESS Vision 2020 – May 2014 3

: : Web eb-Semantic ic Da Data Warehouse Approach  Project phase  Definition of the standards and the architecture  Assessment of the degree of maturity of existing national accounts systems with respect to the standards (FR, SE, EU) GSBPM  Proof of concept and design of architecture  Experimentation phase  Translation of the production processes in GSBPM phases and sub- processes - Proof of concept  Design of the architecture  Team work (national accountant, IT specialist, web-semantic expert 4

: : An Ele lementary ry St Statistical Process  Three areas – RECEPTION – PRODUCTION - DISSEMINATION  Integration LABORATORIES – PRODUCTION FACTORIES 5

: : … We Can Make It Compact …  Symmetric RECEPTION / DISSEMINATION  Similarities in management of formats in LOADERS  Similarities of rules in the CHECKERS  One Entry Point Monitoring the Flows  Optimization of the Flows with the Datawarehouse 6

A Comprehensive Architecture  Scheduler  Entry Point, i.e. the gateway to the Cloud  Coordination of all component  Synchronization of requests  Security Center  Access rights controller  Metadata Handler  Implementation of SDMX  Local knowledge of the Metadata  Statistics Center  Toolboxes and elementary processes  I.e. Seasonal Adjustments, Benchmarking, Temporal Disaggregation, Chain Linking, … 7

Usin sing Se Semantic WEB Techniques  How to use at best the growing volumes of metadata?  How to understand heterogeneous information from different sources?  … through integration of the Information and not only the Data  Dealing with semi-structured information  There is a semantic heterogeneity in information  What is needed to solve?  Integrated Conceptual Schema  Mappings  Wrappers  Techniques: Semantic WEB Rules Language 8

Au Automatio ion in in Chain ins of of Production  A STATE Machine Securing the Automation 2 . A Report to decide 1. A SIGNAL to Start 3. SIGNAL to go to the next 9

Thank you for your attention! 10