Announcements

• We are pleased to announce Laure Berti-Équille as our keynote speaker in MEPDaW 2019!
• Expression of Interest submissions still open until 1st March!

Co-located with the Web Conference 2019 - San Francisco, USA

There is a vast and rapidly increasing quantity of scientific, corporate, government, and crowd-sourced data published on the emerging Data Web. Moreover, knowledge graphs have emerged as scalable knowledge models for integrating data collected from heterogeneous data sources, e.g., Data Web, and representing the meaning of these data and their properties. Knowledge graphs enable the modeling of facts that correspond to items of data, knowledge, or actionable insights, as well as the relations among these facts.  The wide amount of sources of data and knowledge, offers a great potential for building innovative products and services that create new value; they are expected to foster active citizenship (e.g., around topics of journalism, greenhouse gas emissions, food supply-chains, smart mobility) and world-wide research according to the “fourth paradigm of science”.

Open access datasets are publicly available on the Web. The traditional way of digitally preserving them by “locking them away” for future use, conflicts with their evolution. There are a number of approaches and frameworks that manage a full life-cycle of the Data Web and knowledge graphs. More specifically, these techniques are expected to tackle major issues such as the synchronisation problem (how to monitor changes), the curation problem (how to repair data imperfections and add value over time), the appraisal problem (how to assess the quality of a source of data or knowledge), the citation and provenance problem (how to cite a particular version, how to keep the lineage/provenance), the archiving problem (how to retrieve the most recent or a particular version of a source), and the sustainability problem (how to support preservation at scale, ensuring long-term access).

This workshop targets one of the emerging and fundamental problems in the Web, specifically the management and preservation of evolving knowledge graphs. This topic is of particular relevance to The Web Conference since it raises awareness of the many research challenges for preserving and managing knowledge graphs that evolve over time. Fostering active usage of such evolving knowledge graphs requires further research advances on topics such as storage, synchronisation, change representation and querying. Solutions to these problems correspond to main subjects of interests of the workshop.

Important Dates

– Submission: 25th January 2019 6th February 2019

– Notification: 21st February 2019 26th February 2019

– Expression of Interest (max 2 pages): 1st March 2019 

– Final version: 3rd March 2019

– Workshop: 13th or 14th May 2019 (to be announced)

All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.

Submission Guidelines

We envision four types of submissions in order to cover the entire spectrum from mature research papers to novel ideas/datasets and industry technical talks:

• Research Papers (max 10 pages), presenting novel scientific research addressing the topics of the workshop.
• Resource Papers (max 10 pages), presenting functional systems or datasets relevant to the community.
• Position Papers, Demo papers (max 5 pages), encouraging papers describing significant work in progress, late breaking results or ideas of the domain.
• Industry & Use Case Presentations (max 5 pages), in which industry experts can present and discuss practical solutions, use case prototypes, best practices, etc., at any stage of implementation.
• (NEW!) Expression of Interest (max 2 pages), presenting a research topic, a work in progress, practical applications or needs, etc.

The proceedings of the workshops will be published jointly with the Web 2019 conference proceedings. Papers must be submitted in PDF according to the ACM format published in the ACM guidelines (www.acm.org/publications/proceedings-template), selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English.

All papers should be submitted to https://easychair.org/conferences/?conf=mepdaw2019.

Best paper award

We will provide an award for the best research paper submitted. Selection criteria include the innovative nature of work, the importance and timeliness of the topic, and the overall readiness and quality of the writing.

List of Topics

• Management and Governance of Evolution in Knowledge Graphs:
  • Representation and maintenance of versions and changes (change representation, change detection)
  • Efficient indexing  and update of Knowledge Graphs
  • Synchronization of distributed versions
  • Federated Knowledge Graph governance
• Reasoning and Prediction over Evolving Knowledge Graphs:
  • Techniques for extracting and predicting evolving patterns
  • Maintenance of explicit and implicit knowledge
  • Trend analysis of evolving knowledge graphs
  • Concept drift detection and prediction over knowledge graphs
• Visualization and Exploration of Evolving Knowledge Graphs:
  • Visualizing trends
  • Visual summarization of evolving knowledge
  • User interfaces for exploring evolving knowledge graphs
  • Visualisation of quality in knowledge graphs
• Preservation of Evolving Knowledge Graphs:
  • Digital preservation
  • Preservation of context, provenance and background knowledge
  • Efficient and effective solutions for preserving evolving knowledge graphs 
  • Models for representing provenance and evolution
• Quality of Evolving Knowledge Graphs:
  • Quality assessment and validation
  • Machine Learning based quality assessment
  • Quality trends and prediction in evolving knowledge graphs
  • Hybrid approaches for knowledge graph curation
• Evaluation of Knowledge Graph Evolution:
  • Benchmarks for managing, predicting, and curating evolution
  • Real-world applications of evolving knowledge graphs
  • Automatic and human-based techniques for evaluating evolving knowledge graph
  • Creation of training datasets for evaluation of evolving knowledge graphs

Committees

Organizing committee

• Javier D. Fernández (Vienna University of Economics and Business, Austria)
• Jeremy Debattista (ADAPT Centre, Trinity College Dublin, Ireland)
• Fabrizio Orlandi (ADAPT Centre, Trinity College Dublin, Ireland)
• Maria-Esther Vidal (Technische Informationsbibliothek-TIB, Germany and Universidad Simon Bolivar, Venezuela)

Advisory Board

• James Anderson, Dydra
• Rob Brennan, ADAPT Centre, Dublin City University, Ireland
• Axel Polleres, Vienna University of Economics and Business, Austria  
• Jürgen Umbrich, Vienna University of Economics and Business, Austria

Program Committee

• Maribel Acosta, Karlsruhe Institute of Technology (KIT), Germany
• James Anderson, California Institute of Technology, USA
• Natanael Arndt, AKSW, Leipzig, Germany
• Judie Attard, ADAPT Centre, Trinity College Dublin, Ireland
• Ioannis Chrysakis, FORTH-ICS, Greece
• Diego Collarana, Fraunhofer IAIS, Bonn, Germany
• Christophe Debruyne, ADAPT Centre, Trinity College Dublin, Ireland
• Kemele Endris, L3S, Leibniz University of Hannover, Germany
• Valeria Fionda, University of Calabria, Italy
• Giorgos Flouris, FORTH-ICS, Greece
• Michael Galkin, Fraunhofer IAIS, Bonn, Germany
• Damien Graux, Fraunhofer IAIS, Bonn, Germany
• Luis-Daniel Ibáñez, University of Southampton, UK
• Sabrina Kirrane, WU Vienna, Austria
• Steffen Lohmann, Fraunhofer IAIS, Germany
• Marios Meimaris,  ATHENA R.C., Greece
• Declan O'Sullivan, ADAPT Centre, Trinity College Dublin, Ireland
• Harshvardhan J. Pandit, ADAPT Centre, Trinity College Dublin, Ireland
• George Papastefanatos, ATHENA R.C., Greece
• Giuseppe Pirro, ICARCNR, Italy
• Ruben Taelman, Ghent University, Belgium

Venue

MEPDaW is co-located with The Web Conference 2019.

The Web Conference 2019 will be taking place in San Francisco, California. The conference’s main venue is the Hyatt Regency San Francisco hotel.

Contact

Email: mepdaw@googlegroups.com

Twitter: @mepdaw

Homepage: https://mepdaw2019.ai.wu.ac.at/