Selected Speakers

In the following days more information about the speakers of the EDF2014 will be added to this page.

Full Professor of Informatics at the University of Zurich, Switzerland

Abraham Bernstein is a Full Professor of Informatics at the University of Zurich, Switzerland. His current research focuses on various aspects of the semantic web, knowledge discovery, and collective intelligence. His work is based on both social science (organizational psychology/sociology/economics) and technical (computer science, artificial intelligence) foundations. Mr. Bernstein is a Ph.D. from MIT and also holds a Diploma in Computer Science (comparable to a M.S.) from the Swiss Federal Institute in Zurich (ETH). He is on the editorial board of a number of journals, the president of the Swiss Informatics Research Association, a vice-president of the Semantic Web Science Association, and was general chair of ISWC in 2012 and program chair in 2009.

 

Coyright remark: Photo by Nicola Pitaro / TA Media

Online TV Statistics and Dynamic Joint Recommendations

ViSTA-TV enables online viewership statistics analytics for the IPTV industry. Based on its technological progress and research ViSTA-TV will bootstrap an real-time data and data analytics economy for the IPTV industry. At the European Data Forum (EDF) 2014 we will present the ViSTA-TV platform and our four prototype applications showing live IPTV analytics services, demonstrating our success in research and technological innovation. We conclude our presentation with our findings how ViSTA-TV will bootstrap a data and data analytics services economy for viewership data in the IPTV industry, in particular for cases which cannot be covered by traditional TV panel measurement.


Allan Hanbury

Senior Researcher, Vienna University of Technology

Allan Hanbury is Senior Researcher at the Vienna University of Technology, Austria. He is scientific coordinator of the EU-funded KHRESMOI Integrated Project on medical and health information search and analysis, coordinator of the EU-funded VISCERAL project on evaluation of algorithms on big data, and coordinator of the CHIST-ERA project MUCKE on search in multimodal data and social networks. His research interests include multimodal information retrieval and the evaluation of information retrieval systems and algorithms. He is author or co-author of over 90 publications in refereed journals and international conferences.
http://allan.hanbury.eu
http://conqueringdata.at

Conquering Data in Austria: a technology roadmap

The key outcomes of a roadmap study on Conquering Data with Intelligent Data Analytics in Austria are presented (http://conqueringdata.at). The main objective of this roadmap study is to provide the basis for the short-, medium- and long-term focus of relevant Austrian funding programs and related measures. Information for the roadmap study was collected from multiple sources, including an online survey, expert interviews and workshops. A technology roadmap for Austria is proposed, and an instantiation of this roadmap as a number of "Lighthouse Projects" , including both education measures and data-services infrastructure (innovation-facilitation) measures is recommended.


Axel Polleres

Full Professor, WU - Vienna University of Economics and Business

Axel Polleres has worked at various Universities before joining Siemens Corporate Technology research as Senior Research Scientist in 2011; since September 2013 he works as a full professor in the area of Data and Knowledge Engineering at the Vienna University of Economics and Business, Vienna. His research interests include: Knowledge Representation & Management (Querying and Reasoning about Ontologies, Rules, Linked Data/Semantic Web technologies, Web Services) and integration of heterogeneous data. He actively participated in several European and national research projects, has published more than 100 articles in journals, books, and conference and workshop contributions and has co-chaired the SPARQL1.1 working group within the World Wide Web Consortium.
http://www.polleres.net/

City Data Pipeline – A report about experiences from using Open Data to gather indicators of city performance.

We present the City Data Pipeline – a system for gathering city performance indicators published as Open Data in order to ease the compilation of studies and reports used within Siemens. Under the assumption that Open Data provides means to automatise tedious data research tasks, we have built a system that integrates basic indicators for cities from various Open Data sources. The architecture is flexible, extensible, and natively based on RDF & SPARQL. We report on challenges (data quality, coverage, heterogeneity), on the usability of Open Data for industry in general, and our research to overcome some of the involved issues.


Daniel Vila-Suero

Researcher, Ontology Engineering Group, UPM

Daniel Vila-Suero is a PhD candidate, researcher and developer at the Ontology Engineering Group (OEG), in the Universidad Politecnica de Madrid. He holds MsC in Computer Science from the . His research topics are multilingualism in the Web of Data, digital libraries, methodologies and Linked Data. He participated in the Spanish research projects related to Linked Data and multilingualism datos.bne.es and BabeLData as well as in several standardization groups of the W3C and IFLA. Currently, he is involved in the EU project Lider (http://www.lider-project.eu/).

3LD: Towards high quality, industry-ready Linguistic Linked Licensed Data

The application of Linked Data technology to the publication of linguistic data promises to facilitate interoperability of these data and has lead to the emergence of the so called Linguistic Linked Data Cloud (LLD) in which linguistic data is published following the Linked Data principles. Three essential issues need to be addressed for such data to be easily exploitable by language technologies: i) appropriate machine-readable licensing information is needed for each dataset, ii) minimum quality standards for Linguistic Linked Data need to be defined, and iii) appropriate vocabularies for publishing Linguistic Linked Data resources are needed. We propose the notion of Licensed Linguistic Linked Data (3LD) in which different licensing models might co-exist, from totally open to more restrictive licenses through to completely closed datasets.

http://www.lider-project.eu/

http://www.oeg-upm.net
http://www.slideshare.net/DanielVilaSuero

http://scholar.google.es/citations?user=3D1ILFWOYAAAAJ

 


Dr. Harald Schöning

Head of Research, Software AG

Dr. Harald Schoning is the Head of Research at Software AG, world leading in enterprise management software. He is also Board member of the NESSI ETP. Dr. Schoning holds a PhD in Computer Science from the University of Kaiserslautern. He has been involved in object-oriented and database software technology since 1987. This includes work on the design of a complex-object database system, and as an architect of Tamino, Software AG's native XML database.
Dr. Schoning also has given lectures at various universities and teaches courses for the "Deutsche Informatik Akademie". He's the author of books on complex object databases and on XML and databases (in German) and co-author of a book on XQuery (in German). Harald is member of the executive committee of the database group of the German computer science association "Gesellschaft fur Informatik".

A Big Data Value Innovation Ecosystem for Europe – a Business Perspective

NESSI’s presentation will promote a wide-ranging data vision for Europe on how to capture and advance the value of Big Data to create growth and jobs for the benefit of the whole EU economy. The presentation shall describe a broad range of aspects which need to be addressed in bringing together a European Big Data Innovation Ecosystem. These aspects include not only research and innovation dimensions of Big Data but also applications as well as socio-economic and legal aspects.


Research Manager, SAP AG

Rüdiger's main focus topics are digital & intangible assets and the development of innovative solutions in the context of Big Data to derive value from these assets.  He held various positions within SAP and also worked for Arthur D. Little. Rüdiger earned a doctorate from the University of Mannheim in Controlling and Operations Research.
http://www.linkedin.com/in/ruedigereichin

Deriving Value from Big Data for Enterprise Performance Management

In this presentation we highlight the potential of Big Data to contribute to an improved Enterprise Performance Management. As soon as enterprises fully leverage all available internal and external data sources and use those to better understand their knowledge-based capital such as their ability to innovate or to respond to customer needs, they gain actionable insights for better decisions and means to improve their performance. SAP, as the leading European software technology and business application provider, will further invest into research in this area to increase the impact of Big Data technologies for European companies of all sizes and within various industries.


Chief Technical Officer, Mobics Ltd

Dr. Vassileios Tsetsos received his B.Sc. in Informatics from the Department of Informatics & Telecommunications at the University of Athens, Greece in 2003 and his M.Sc. in "Communication Systems and Data Networks" from the same Department in 2005. In 2010 he received his Ph.D. from the same department. He is a member of the Communication Networks Laboratory (CNL) of the University of Athens and the Pervasive Computing Research Group. Since 2010 he holds the position of CTO at Mobics Ltd. He has participated in R&D projects funded by the EU FP5 and FP7 programmes, and in several national research projects. He is currently scientific supervisor and coordinator in various European and national R&D projects. His research interests are in the areas of middleware for context-aware services and knowledge engineering.
http://www.di.uoa.gr/~btsetsos
http://gr.linkedin.com/pub/vassileios-tsetsos/4/108/921/

Predicting parking occupancy in a sensor-enabled smart city

The “smart city” concept is becoming more and more popular for several reasons. Among them is the common understanding that urbanization should be sustainable in terms of quality of life for the citizens, financial viability, protection of the environment, etc. Key enablers for realizing this concept are the Internet of Things, M2M communications, and efficient and intelligent data management methods. In this presentation we describe experimentation with a large dataset of parking data in one of the largest smart city testbeds in the world: Santander. The work was performed in the context of the SmartSantander project and resulted in a novel parking prediction service.


Managing Director, Hypercliq EE

Founder of Hypercliq, MSc in Artificial Intelligence, with professional and research background in the development of web applications, social networking sites and digital marketing, as well as project management in collaborative RTD projects. Author of 5 relevant publications related to the development of a collaborative prototyping platform, the statistical analysis of human body morphotypes, as well as business process modelling.

Extension of the Scope of Large 3D Anthropometric Data Pools for Product Development – Web 3D data analytics by Hypercliq EE

The paper introduces Hypercliq EE, a high-tech SME specializing in data analysis on the web, and its role in the EUROFIT EC funded project (www.eurofit-project.eu). Our vision is to unleash the huge potential inherent in the increasing number of repositories of representative 3D human body surface data available throughout the world for the benefit of the European consumer goods’ industries. Our web 3D shape analysis and visualization tools enable designers and engineers to draw and visualise useful aggregate shape information on the whole human body or selected body parts and use it in their product development processes in real time.


Florian Stegmaier

Senior Researcher, University of Passau

Stegmaier is a senior researcher at the University of Passau. In his PhD he is focusing on multimedia modelling, distributed retrieval and Semantic Web technologies. Currently he is the leading the work package for Data Querying, Aggregation and Provenance in the FP7 CODE project. Since November 2013, he is leading the work package for Cross-Media Metadata Publishing in the FP7 MICO project. Further, he is involved an active member of the W3C Media Annotations Working Group as invited expert. Florian has published more than 25 peer-reviewed scientific papers.
https://www.researchgate.net/profile/Florian_Stegmaier/
http://www.mendeley.com/profiles/florian-stegmaier/

Linked Data in Context: Questions Matter

Linked Open Data has grown into a large and recognised source of data, however its uptake and commercial exploitation does not yet reflect its potential value. Two factors with potential to contribute to the value of data are correlating previously uncorrelated data and providing answers based on the data. We present a data-centric question answering portal, developed within the CODE project, which focuses on answers based on empirical facts embedded in numerical Linked Open Data. The portal is backed by services addressing data extraction and semantic integration, creating and merging of data sets, and discovery and visual analysis targeting IT laymen.


INSEE (Institut National de la Statistique et des Études Économiques)

Franck is a technology advisor at INSEE, the French National Statistical Institute, where he started as a business statistician, then became project manager for the development of a classifications management system, before taking the responsibility of IT infrastructure and IT security. He is particularly active in the fields of metadata standards, linked data and international cooperation.

TeraLab, A Secure Big Data Platform: Description And Use Cases

The TeraLab Big Data platform will be opened in 2014. Its architecture will allow memory-intensive and/or massively parallel treatments on large data sets, including highly confidential data. A varied collection of software tools and a catalog of useful data sets will be installed on the platform. TeraLab will support the development of a wide range of research and industrial projects, and contribute to the emergence of a data science community. This paper gives a rapid overview of the TeraLab platform architecture, and presents some examples of use cases that it is designed to support.


Frank Kresin

Research Director, Waag Society

Frank Kresin is Research Director at Waag Society, institute for Arts, Science and Technology, based in Amsterdam. Waag Society develops and researches creative technology for social innovation, putting people and their needs at the center. It involves artists, scientists and entrepreneurs in early stages to come up with truly useable systems and services. Frank’s background is in Artificial Intelligence and film making, and his interest is in developing technology for societal goals. He was involved at the start of many international innovation programmes, amongst them Apps for Europe, City SDK, CineGrid Amsterdam and Code 4 Europe. Frank has spoken, written and lectured on Open Innovation, Open Data & Open Design, Users-as-Designers, Living Labs and Fablabs. He is a regular moderator at the PICNIC Festival, as well as at design and innovation workshops in the Netherlands and abroad.
http://www.waag.org
http://nl.linkedin.com/in/kresin

City SDK – Smart City Services bases on Open Source Linked Open Data API’s

CitySDK is creating a toolkit for the development of digital services within cities. The toolkit comprises of open and interoperable digital service interfaces as well as processes, guidelines and usability standards. CitySDK enables a more efficient utilisation of the expertise and know-how of developer communities to be applied in city service development. The Project focuses on three Pilot domains: Smart Participation, Smart Mobility and Smart Tourism. This talk will present the state of the art in Open Source Linked Data applications, taking the Smart Mobility API as the use-cae. It will discuss preliminary results and invite participants to join the ecosystem.


José Ignacio Sánchez Valdenebro

Deputy Director of Digital Public Services Department, Entidad Pública Empresarial Red.es

Jose Ignacio Sanchez Valdenebro: BS in Chemistry at Complutense University of Madrid. Master's degree in e-Health for de UOC (Universidad Oberta de Cataluna). He started is career working in software development companies and consulting companies in different fields like banking, GIS applications and e-health. Since 2004 he has been working at Red.es developing Information Society programs in Spain as e-government, e-justice, e-health. Since 2011 he is the responsible of Aporta Project at red.es. Currently, he is Deputy Director of Digital Public Services Department, where Aporta Project is managed.

Aporta Project: National Strategy for encourage PSI in Spain

Aporta is the flagship initiative of the Spanish Government for promoting the Re-Use of Public Sector Information and fostering the opendata culture among the Public Administration and the Society. Since its official launch in April 2009, Aporta firstly disseminated the culture of the reuse of PSI, after created the guidelines needed for paving the way for the re-use, and now has it`s main focus helping to make a reality the right to re-use the PSI held by the National tier of Government. Aporta project enriches and maintains the Public Information Catalogue (datos.gob.es) performing actions such as open data support service, developing of training materials and promoting the creation of products and services by the infomediary sector.


GENES (Groupe des Écoles Nationales d'Économie et Statistique)

Kamel is the director of the French research data center (CASD). He is in charge of promoting the secure use by researchers of very detailed data owned mainly by public administrations. He is involved in two European projects which both aim at improving secure remote access to confidential data: DARA, funded by Eurostat, and Data Without Boundaries (an FP7 project). Before that, he worked as project manager and IT manager at INSEE, the French National Statistical Institute.
http://www.groupe-genes.fr/
http://www.casd.eu/

TeraLab, A Secure Big Data Platform: Description And Use Cases

The TeraLab Big Data platform will be opened in 2014. Its architecture will allow memory-intensive and/or massively parallel treatments on large data sets, including highly confidential data. A varied collection of software tools and a catalog of useful data sets will be installed on the platform. TeraLab will support the development of a wide range of research and industrial projects, and contribute to the emergence of a data science community. This paper gives a rapid overview of the TeraLab platform architecture, and presents some examples of use cases that it is designed to support.


Krzysztof Wecel

Assistant professor at Poznan University of Economics, Poland

Krzysztof Wecel is Assistant professor at Poznan University of Economics, Poland.

Advanced Exploration of Public Procurement Data in Linked Data Paragigm

Linked open data about public contracts can be valuable for both enterprises and public bodies. One of the aims of the EU LOD2 project is to make public contract data available as linked data, with the help of a Public Contracts Ontology, and to apply analytic methods on the top of such data. A wide range of analytical (data mining) methods is being applied, currently on Czech and Polish data, including both descriptive and predictive approaches, and both directly on RDF data and on (interlinked) data transformed back to tabular format.


Senior Partner, Trilateral Research & Consulting

Kush Wadhwa, Senior Partner of Trilateral Research & Consulting, provides research and advisory services with respect to emerging technologies in Security, ICT and Health, focusing upon issues of strategic policy development related to privacy and data protection, socio-economic issues, and data science. He participates in research affecting the future direction of security and surveillance technologies, as well as emerging technologies and applications in these fields (e.g., big data, ubiquitous computing, robotics, mobile health). He has participated in a number of public and private sector research projects, across a range of topics including surveillance, privacy seals, security certifications, biometrics, crisis management, open access, mobile technologies, and others.
He is the Coordinator of several FP7 projects, including RECODE (Policy RECommendations for Open Access to Research Data in Europe) and BYTE (Big data roadmap and cross-disciplinarY community for addressing socieTal Externalities). He is widely published and serves as an Associate Editor of the journal Studies in Ethics, Law and Technology.
www.trilateralresearch.com
www.byte-project.eu

Addressing risks and opportunities engendered by big data: The BYTE project

This presentation will introduce the BYTE project which is examining the potential positive and negative effects of the deployment of big data as a policy platform in Europe. This EU-funded project “Big data roadmap and cross-disciplinarY community for addressing socieTal Externalities” started in March 2014. BYTE will conduct empirical research in seven sector-specific case studies to examine the potential positive and negative externalities of big data with organisations that are actually utilising big data. These case studies include: environmental data, cultural data, utilities/smart cities, health data, commercial data, energy data and transportation data. It will use this information to create a BYTE vision and roadmap for the responsible integration of European stakeholders into the emerging big data economy. The presentation will outline the stakeholder collaboration activities that will be used in the BYTE project, including the BYTE Big Data Community, and encourage audience members to become involved in the project: participating in the debates the project will host and the stakeholder collaboration mechanisms that will ultimately steer European policy in this area.


Researcher, Semantic & Knowledge Innovation Lab

Michele Vescovi is a researcher at the Semantic and Knowledge Innovation Lab (SKIL) of Telecom Italia, located in Trento at the EIT ICT-Labs co-located center. He is currently responsible of the “Personal Data” tasks within the Mobile Territorial Lab project (including the design, development and experimentation of My Data Store) and collaborates with to different initiatives related to privacy and trust. He is MSc in Computer Science and received his Ph.D. in Computer Science from the ICT Int. School at the University of Trento (2011). Among his past experiences, Michele was visiting researcher at the Concordia University of Montreal (Canada), and worked at FBK institute of Trento. His research interests include privacy, personal and big data, personal data management, pervasive computing, ontologies and semantic.
http://www.mobileterritoriallab.eu/pages/pds.html

Toward Personal Big Data passing through user Transparency, Control and Awareness: a Living-Lab Experience

Huge collections of Personal Data (PD) are the commodity of a flourishing market mostly fostered by the biggest ICT companies. However, they raise serious concerns over privacy and PD-protection. This is far from the desired Personal Big Data scenarios in which those collections enable and contribute-to the generation of widespread socioeconomic benefits to the collectivity. In order to reach these benefits, we believe that we need a fair PD management, where individuals, empowered with control and awareness over their PD, are enabled to actively and knowingly participate to these scenarios. We present the design and the adoption of My Data Store: a privacy preserving service that enable users to collect, manage and exploit PD generated in mobility. We have experimented this service in a living lab environment involving 100+ families.


Nikolaos Loutas

Manager, PwC

Nikolaos Loutas is manager at PwC's Technology Consulting practice, involved mainly in projects on interoperability of trans-European ICT solutions, data and software products.  Nikos specialises in semantic aspects of interoperability, through the application of Semantic Web technologies and Linked Data. He has deep insights into open semantic standards, such as the Asset Description Metadata Schema, the e-Government Core Vocabularies and the DCAT Application Profile for data portals in Europe. Before joining PwC, Nikos had been working for leading EU research centres. He has published more than 55 papers and reports in the field of Semantic Web in international journals, conferences and books.

Business models for Linked Government Data: what lies beneath?

This presentation discusses a study on business models for Linked Open Government Data (LOGD) performed by the ISA Programme between April and August 2013. The prevalent business model that emerged is the one where the investment and maintenance costs of a LOGD service are covered through ongoing public funding. In all cases, the LOGD service is provisioned free of charge. Many providers do not yet have a clear view of the consumers of their data. In the study, we have not seen a wide reuse by third parties. This may be because providers do not yet provide operational guarantees or because Linked Data requires acquisition of new skills on the side of the reusers. However, as many data providers are in the process of producing massive amounts of LOGD and given the opportunities for efficient data integration that Linked Data offers, more reusers are expected to find their way to the data.


Taru Rastas

Senior Advisor, Finnish Ministry of Communications

Ms Taru Rastas serves as a deputy director of Internet Services Unit in the Ministry of Transport and Communications with responsibility for digital strategies, service development and open data. She was a chair of the working group preparing government resolution on public sector information in 2011 and open data in transport and communications in 2013. Also she has been a member of the jury for Apps4Finland competition for 2009-2013. Her background is in management consulting on intangibles as an entrepreneur as well as an academic researcher in non-financial reporting. Before this she worked as a ministerial adviser in the field of service sector industrial policy for the Ministry of Trade and Industry. She has a master’s degree in economics. She has authored books, articles and reviews on intellectual capital, open data, services and policy issues.

Open data for transport and communications

Finland has started to leverage its data reserves by providing free access to public sector information. The Ministry of Transport and Communications has worked with its agencies and authorities to prepare a roadmap to open data in the transport, weather and communication sectors. The presentation includes an overview of this work, from the first step of identifying data reserves through to the formation of an action plan and also the challenges faced along the way. Examples of open data applications are highlighted, as well as the role of co-creation to promote open data.


Vedran Sabol

Head Knowledge Visualisation Area, Know-Center

Vedran Sabol is the head of the Knowledge Visualization Research Area at the Know-Center. His research interests are in information visualization, visual analytics and human-computer interaction. He was involved, either as a project leader or as a collaborator, in numerous research projects addressing aforementioned areas. He has published over 40 peer-reviewed scientific papers.

Linked Data in Context: Questions Matter

Linked Open Data has grown into a large and recognised source of data, however its uptake and commercial exploitation does not yet reflect its potential value. Two factors with potential to contribute to the value of data are correlating previously uncorrelated data and providing answers based on the data. We present a data-centric question answering portal, developed within the CODE project, which focuses on answers based on empirical facts embedded in numerical Linked Open Data. The portal is backed by services addressing data extraction and semantic integration, creating and merging of data sets, and discovery and visual analysis targeting IT laymen.