M2U2018

1st International Workshop on
New Frontiers on Metadata Management and Usage (M2U)

In conjunction with the
22nd European Conference on Advances in Databases and Information Systems (ADBIS 2018)
September 2-5, 2018 – Budapest, Hungary

http://www.adbis2018.org/

Overview Topics Submissions Chairs and Committee Program

 

Workshop overview

Metadata in the context of large scale distributed systems and Big Data technologies both play a central role and raise new research issues that attract the attention of researchers and practitioners. Large scale systems and Big Data make integration approaches all the more challenging, with the resurgence of virtual and dynamic approaches based on rich metadata and semantics (think, for instance, of Data Lakes). Also, discovery of relevant sources, sharing and reuse, and data quality strongly rely on metadata. Furthermore, data exploration, description and summarization is becoming a key facility to make sense of a huge amount of data and let users learn from them. This applies to both unstructured and structured data. For unstructured datasets, which are commonly estimated to make up roughly 80% of data currently generated, the challenge is to find scalable and semi-automated methods for generating the metadata required for data indexing, retrieving and analyzing that data. At the same time, the description of complex information such as strategies, goals and requirements, contracts, and processes call for expressive models that are able to represent complex metadata relationships. Metadata also go beyond the traditional description of data and extend to processes: reproducibility of scientific experiments, sharing and reuse of workflows, service composition and orchestration are examples in which process metadata are important. Furthermore, enriching process descriptions with contextual information can enable novel forms of process analytics. Big Data may also mean Big Metadata: as technologies and systems are expected to manage the huge amount of metadata at scale, meta-datasets need to be properly stored, indexed and queried, taking into account metadata evolution and thus metadata versioning.
This workshop aims to provide a forum to discuss recent advancements, exchange ideas and share experiences on new forms of metadata management and use. Papers presenting recent results, research issues, practical applications and case studies as well as industrial implementations are welcome.
Accepted (and presented) papers will be published in Springer’s Communications in Computer and Information Science series. We also plan to invite selected papers for publication in a journal.
 

Topics of interest

Topics include, but are not limited to:

  •  Approaches based on metadata to support (Big) Data Analytics
  •  Metadata Management
  •  Semantic approaches
  •  Evolution and versioning of metadata
  •  Metadata and Data Lake
  •  Metadata and data quality
  •  Data provenance
  •  Metadata, trust and reputation
  •  Models and methods for complex data annotation
  •  Machine learning for metadata generation
  •  Metadata for Business Process modeling, analysis and mining
  •  Metadata in service composition, orchestration and SLA management
  •  Metadata for the geometric characterization of 3D models
  •  Linked Data and Vocabularies
  •  Metadata in new hot application contexts such as IoT and Industry 4.0
  •  Metadata for fake news detection and journalism applications
  •  E-science environments, reproducibility of experiments, workflow sharing and reuse
  •  Metadata privacy and security
     

Submission Instructions

Submitted papers should present substantially original results not currently under review or published elsewhere. Papers should be written in English and must comply with the Springer formatting guidelines (instructions for authors are available at https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines). Papers should be formatted in Latex and submitted in PDF format using the online submission system https://easychair.org/conferences/?conf=m2u. Paper length is limited to 12 pages.
 

Important Dates:

Paper Submission: May 15, 2018
Authors Notification: June 8, 2018
Camera Ready: June 18, 2018
Workshop: September 2, 2018
 

PC Chairs

Claudia Diamantini, Università Politecnica delle Marche, Italy, c.diamantini@univpm.it
Domenico Ursino, Università Politecnica delle Marche, Italy, d.ursino@univpm.it
Sham Navathe, Georgia Institute of Technology, USA, shamkant.navathe@cc.gatech.edu

Program Committee

  • Sonia Bergamaschi, Università di Modena e Reggio Emilia, Italy
  • Philip Bernstein, Microsoft Research, USA
  • Chiara Eva Catalano, CNR-IMATI, Italy
  • Isabelle Comyn-Wattiau, ESSEC Business School, France
  • Valeria De Antonellis, Università di Brescia, Italy
  • Laura Genga, Eindhoven University of Technology, The Netherland
  • Giancarlo Guizzardi, Libera Università di Bolzano, Italy
  • Stuart E. Middleton, University of Southampton, UK
  • Paolo Missier, Newcastle University, UK
  • Stefano Modafferi, University of Southampton, UK
  • John Mylopoulos, University of Toronto, Canada
  • Luigi Palopoli, Università della Calabria, Italy
  • Thorsten Papenbrock, Universität Postdam, Germany
  • Oscar Pastor, Universidad Politècnica de València, Spain
  • Domenico Potena, Università Politecnica delle Marche, Italy
  • Christoph Quix, Fraunhofer FIT, Germany
  • Erhard Rahm, Universität Leipzig, Germany
  • Karina Rodriguez Echavarria, University of Brighton, UK
  • Emanuele Storti, Università Politecnica delle Marche, Italy
  • Panos Vassiliadis, University of Ioannina, Greece
  • Nicola Zannone, Eindhoven University of Technology, The Netherland