FP7-ICT STREP Objective ICT SME Initiative on Analytics

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1 FP7-ICT STREP Objective ICT SME Initiative on Analytics Enabling Linked Data and Analytics for SMEs by renovating public sector information D5.1 - Project Fact Sheet Editors: Salvatore Virtuoso (PIKS) Contributors: Christina Bompa, Sotiris Koussouris, Spyros Mouzakitis, John Psarras, (NTUA), Barbara Kapourani (CP) Date: 10/01/2013 Version: 1.00 Status: Final Workpackage: WP5 Dissemination and Exploitation Classification: Public Disclaimer: The LinDA project is co- funded by the European Commission under the 7 th Framework Programme. This document reflects only authors views. EC is not liable for any use that may be done of the information contained therein.

2 LinDA Profile Grant Agreement No.: Acronym: Title: URL: LinDA Enabling Linked Data and Analytics for SMEs by renovating public sector information project.eu Start Date: 01/12/2013 Duration: 24 months Partners NATIONAL TECHNICAL UNIVERSITY OF ATHENS DECISION SUPPORT SYSTEMS LABORATORY (NTUA - DSSLab) Coordinator Greece FRAUNHOFER- GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. (FOKUS) Germany GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIRIA PERIORISMENIS EFTHYNIS (UBITECH) Greece UNIVERSITY OF BONN (UBONN) Germany PIKSEL SPA (PIKS) Italy CRITICAL PUBLICS LTD (CP) United Kingdom HYPERBOREA S.R.L. (HYPERBOREA) Italy TTNEWS24 S.R.L. (TTNEWS24) Italy 2 / 6

3 Document History Version Date Author (Partner) Remarks /12/2013 Salvatore Virtuoso (PIKS) Initial Outline /12/2013 Christina Bompa, Spiros Mouzakitis, Sotiris Koussouris (NTUA) Enhanced Layout and Content Drawn /01/2014 Salvatore Virtuoso (PIKS), Final Draft Version circulated for internal technical review /01/2014 Christina Bompa, Spiros Mouzakitis, Sotiris Koussouris John Psarras (NTUA), Barbara Kapourani (CP) Peer Reviewed Version /01/2014 Salvatore Virtuoso (PIKS) Updated draft addressing comments during the internal quality review process 1/00 10/01/201 John Psarras (NTUA) Final version to be submitted to the EC 3 / 6

4 Enabling Linked Data and Analytics for SMEs by renovating public sector information LinDA Project The LinDA project addresses one of the most significant challenges of the usage and publication of Linked Data, the renovation and conversion of existing data formats into structures that support the semantic enrichment and interlinking of data. The set of tools provided by LinDA will assist enterprises, especially SMEs which often cannot afford the development and maintenance of dedicated information analysis and management departments, in efficiently developing novel data analytical services that are linked to the available public data therefore Grant Agreeement LinDA at a Glance Start Date 1/12/2013 Duration Work Programme Objective 24 months ICT SME Initiative on Analytics Budget 1,931, Coordinator National Technical University of Athens Decision Support Systems Laboratory project.eu contributing to improve their competitiveness and stimulating the emergence of innovative business models. Project Objectives Specifically, the LinDA objectives are: To enhance the ability of data providers to provide re- usable, machine- processable linked data. To provide out- of- the- box software components and analytic tools for SMEs for combining and linking public sector information with privately- owned data To develop an ecosystem of Linked Data Publication and Consumption Apps To demonstrate the feasibility and impact of the LinDA approach in the EU SMEs Sector through the LinDA pilots To achieve international recognition and spread excellence, diffuse and communicate results and contribute to standardisation and education. 4 / 6

5 The LinDA Tools LinDA outcomes will include a set of tools for Open Data Renovation and Open Data Consumption, providing SMEs interfaces intended to hide the underlying complexity of linked data and designed to allow re- using of their existing software apps and database management systems. Open Data Renovation Tools A Transformation Engine for renovating and converting a wide range of supported data containers, structures and formats into arbitrary RDF graphs A Repository for accessing and sharing Linked- Data vocabularies and metadata Open Data Consumption Tools A Linked Data API to provide access in other widely established formats, based on the internal RDF data (RDF2Any) A library of Visualization Tools for different data modalities that can consume output from the Linked Data API and generic web APIs. A library of End- user Analytics and Data Mining Apps extended to use RDF as source format. An ecosystem of Linked Data Publication and Consumption Apps Validation and Results Assessment LinDA in Business Intelligence The pilot intends to demonstrate the effectiveness of the LinDA tools in the provision of intelligence- based consulting services. Through the LinDA Transformation engine, both public sector data and private data silos relevant to the consulting assignment (information about the industry, market, political conditions, legal frameworks and financial data) will be renovated into linked data format by utilizing LinDA Vocabularies and Metadata standards repository for the mapping process. Thereafter, novel analysis methods of the available data will be applied to provide real- time, dynamic output and embrace the linked data paradigm (pattern and link analysis, business intelligence information mash- ups) through the LinDA Analytics / Data Mining applications suite that will lead to the final consulting report to the customer. LinDA in the Environmental Sector This pilot aims at exploiting the LinDA tools for the efficient management and analysis of the Italian Regions Environmental data. Data available in the existing data gov initiatives and repositories will be transformed in the Linked Data format, not only at their discovery metadata layer (e.g. CKAN metadata fields) but more importantly in the domain- specific layer. The LinDA Vocabulary and Metadata repository will be enriched with the relevant vocabularies (e.g. GEMET, UMTHES, EARTh, EUNIS) to allow a meaningful interlinking and analysis of datasets by citizens and enterprises through the LinDA Publication and Consumption ecosystem. LinDA in the Media Industry The objective of this pilot is to demonstrate the potential of the LinDA renovation and consumption tools in the Media industry, as well as setup an initial library of visualization and exploration applications for this domain to be shared through the LinDA ecosystem. Governmental Data (finance, budget, public services data) and data from national statistical offices and banks will be renovated into the linked RDF and interlinked along with journal articles, news feeds and content. The LinDA 5 / 6

6 ecosystem will allow the dynamic enrichment of the visualizations and exploration apps shared by a network of other SMEs in this domain, leading to unexpected scoops, swiftly finding key data for data- driven journalism and cross- checking and verifying the sources of news feeds. Expected Impact The adoption of LinDA conversion tools will allow both public bodies and data providers to address the significant barrier of transforming current data structures (unstructured, proprietary file formats or vendor- lock- in databases) into unified and reusable RDF formats, reducing the risk of proliferating metadata specifications that are being used by a limited number of entities. This result will eventually lead to a multiplication of valuable applications that are able to integrate available public data (such as location of public services or geographical data) and private data such as the employees / vehicles current location offered by the GPS of a mobile device. The LinDA publication and consumption ecosystem is targeted to software developers with a view to minimizing the cost and effort for projects implied in the design and development of data warehousing and data analytics solutions. It is expected therefore a wide adoption by SMEs of the LinDA tools by software developers, since they will be able to work with the same procedures and technologies, while at the same time being empowered with a vast amount of linked information. The LinDA ecosystem of publication and consumption Apps will significantly motivate SMEs Public Data providers to follow the Linked Data paradigm for the publication of open data therefore realizing the full potential of linking, analysing and mashing- up data as well as stimulating new, innovative business models. Hundreds of applications, reusing billions of open data records, used by million end users is the vision to become reality through the use of LinDA tools, where SMEs will benefit from the improved competitiveness generated by the cost efficiency increase and time- to- market reduction. Consortium Partners NATIONAL TECHNICAL UNIVERSITY OF ATHENS DECISION SUPPORT SYSTEMS LABORATORY (NTUA - DSSLab) - Coordinator GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIRIA PERIORISMENIS EFTHYNIS (UBITECH) PIKSEL SPA (PIKS) FRAUNHOFER- GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. (FOKUS) UNIVERSITY OF BONN (UBONN) CRITICAL PUBLICS LTD (CP) HYPERBOREA S.R.L. (HYPERBOREA) TTNEWS24 S.R.L. (TTNEWS24) 6 / 6