[CfP] 5th Workshop on Managing the Evolution and Preservation of the Data Web (MEPDaW 2019) at The Web Conference 2019

(Apologies for cross-posts)

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CALL FOR PAPERS: 5th Workshop on Managing the Evolution and Preservation 
of the Data Web - MEPDaW 2019

Co-located with The Web Conference 2019, San Francisco

Deadline Submission: 25th January 2019
Workshop: 13th or 14th May 2019 (to be announced)
Web: https://mepdaw2019.ai.wu.ac.at/
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== MOTIVATION ==

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 ==

- Deadline Submission: 25th January 2019
- Notification: 21st February 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.

== 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


== 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:

A) Research Papers (max 10 pages), presenting novel scientific research 
addressing the topics of the workshop.

B) Resource Papers (max 10 pages), presenting functional systems or 
datasets relevant to the community.

C) Position Papers, Demo papers (max 5 pages), encouraging papers 
describing significant work in progress, late breaking results or ideas 
of the domain.

D) 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.

The proceedings of the workshops will be published jointly with the 
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.


== 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  ==

- Jürgen Umbrich, Vienna University of Economics and Business, Austria
- Axel Polleres, Vienna University of Economics and Business, Austria
- Rob Brennan, ADAPT Centre, Trinity College Dublin, Ireland


== PROGRAM COMMITTEE ==

- Maribel Acosta, Karlsruhe Institute of Technology (KIT), Germany
- Natanael Arndt, AKSW, Leipzig, Germany
- Judie Attard, ADAPT Centre, Trinity College Dublin, Ireland
- Ioannis Chrysakis, FORTH-ICS, Greece
- Giorgos Flouris, FORTH-ICS, Greece
- Sabrina Kirrane, WU Vienna, Austria
- Marios Meimaris, ATHENA R.C., Greece
- Harshvardhan J. Pandit, ADAPT Centre, Trinity College Dublin, Ireland
- George Papastefanatos, ATHENA R.C., Greece
- Ruben Taelman, Ghent University, Belgium
- … more to be announced.


== CONTACT INFORMATION  ==

Email: mepdaw@googlegroups.com
Twitter: @mepdaw

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