DBTA


Swiss Informatics Society

Special Interest Group

on Information Systems

 

DBTA Workshop on Semantic Data Processing

10:00-16:30 Friday 7 February 2014
Sky Lounge
Wankdorf Stadium, Berne

Organisers: Dr. Martin Wunderli, Trivadis, Prof. Heiko Schuldt, University of Basel

Over the last few years, not only the sheer volume of data that have to be handled by many applications has significantly grown in volume, but also their heterogeneity has increased. Hence, data integration has become more and more important to deal with the heterogeneity of different data sources. A key to data integration is the use of semantic technology that focusses on the meaning and relationship of data and information.While traditional information technology predefines meanings and relationships into data formats and the application program code at design time, semantic technology, by contrast, encodes meanings separately from data and content files, and separately from application program code (i.e., an abstraction layer above traditional information technology. In addition, as data and informations are inherently afflicted with uncertainty, semantic fusion (e.g., for example of multi-source sensory data), is a way to reduce the uncertainty in the reasoning process.

This workshop aims at bringing together researchers and practitioners actively working on aspects of Data Integration and Semantic Data Processing in the context of Big Data to foster discussions on novel scientific trends and recent developments from leading-edge industry and academic institutions.

After a workshop entitled Big Data, Cloud Data Management, and NoSQL (with focus on 'Volume of Big Data') which was held in October 2012, this workshop will be dedicated to 'Variety in Big Data'. In summer 2014, a third workshop of this mini-series with focus on 'Velocity in Big Data' (i.e., data streams) is planned.

Please note that the workshop is for SI/DBTA members only. There is no fee to attend the workshop but registration is necessary. Further details and registration are available here.

Presentations
  • Introduction to Ontologies; Technological Challenges; Combining Relational Databases and Ontologies
    Marc Lieber, Principal Consultant at Trivadis AG, Basel
    Slides

  • Large-Scale Graph Processing with Signal/Collect
    Prof. Abraham Bernstein, University of Zurich

  • Big Data Challenges and Solutions in Open Source Intelligence
    Dr. Vincent Lenders, Research Program Manager at armasuisse S&T, Thun

  • Entity-Centric Data Management
    Prof. Philippe Cudre-Mauroux, University of Fribourg
    Slides

  • Handling Uncertainty of Data and Information
    Dr. Albert Blarer, Principal Consultant at Trivadis AG, Zurich
    Slides

  • Big Issues in (Life Sciences) Research Management Systems
    Dr. Can Türker, Functional Genomics Center, Zürich (FGCZ)
    Slides

  • The Microsoft Big Data Architecture Approach
    Meinrad Weiss, Senior Technology Manager at Trivadis AG, Basel
    Slides

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