CfP: SKALE, 1st Workshop on Scalable Knowledge Graph Engineering, co-located with EKAW


The 1st Workshop on Scalable Knowledge Graph Engineering (SKALE) 2020

Co-located with the 22nd International Conference on Knowledge
Engineering and Knowledge Management (EKAW)

Venue: Bozen-Bolzano, Italy
Date: 16–20 September 2020



Paper Registration (Abstract) Deadline    July 1, 2020
Paper Submission Deadline                 July 7, 2020
Notification of Acceptance                August 12, 2020
Deadline Camera-Ready                     August 26, 2020
Workshop, full day                        September 16/17, 2020


Coronavirus outbreak: In the event of a cancellation of the physical
event the SKALE workshop will organise a virtual workshop with
peer-reviews and proceedings as planned. The details will be announced
at a later date.  We are also considering different options for easing
the requirements for submitting to the workshop. The website will be
continuously updated and authors will be informed as soon as more
information is available.



While the use of semantic knowledge bases is steadily gaining
industrial interest, ontologies are by and large still a fringe
technology in most industries. A major impediment for industrial
uptake is often attributed to the lack of scalability; the
development, maintenance and use of semantic knowledge bases, and the
tools and methods that are built to support these tasks usually
require considerable specialist training and are therefore essentially
completely unknown and/or foreign to the average data/information
worker. Enterprises that wish to explore the benefits (and costs) of
using semantic technologies will likely lack the necessary competence
and will find that there are few off-the-shelf ontologies, tools, and
methodologies that fit their existing system architecture and
information flow. Additionally, there are few leading examples and
success stories to go by.

The workshop wishes to attract and stimulate novel research and
innovative advances of semantic technologies with the aim of making
these technologies relevant and useful for any modern data driven
industry. The workshop also wants to investigate where the real world
problems are; where and what are the real show-stoppers for efficient
large-scale deployments of ontology-based information systems?



The workshop invites contributions of three kinds: research papers, in
use papers, and challenge papers.

Common for all contributions is that they must be relevant for the
development and/or maintenance of large scale knowledge bases. All
papers must emphasise their contributions’ applicability at
scale. This can be realised via a formal evaluation, demonstration, or
other reasonable argumentation.

*Research papers* present novel theoretical, analytical and empirical
  contributions in topics such as, but not limited to:
  - knowledge base abstraction mechanisms, e.g., patterns and
    templates, and their applications
  - constructing and updating knowledge bases from unstructured and
    structured data sources; ontology bootstrapping
  - management of multiple ontologies: alignment, reusability and
    interoperability; change management; quality checks; ontology
  - presentation and visualisation techniques for large-scale knowledge
    bases development environments: collaborative tools; tools and
    methods adapted to different user roles (e.g., ontology experts,
    domain experts, programmers, end-users).

Research papers must be between 10 and 15 pages excluding references.

*In-use papers* are reports from real-world developments and/or
  deployments of large knowledge bases that give new insights to the
  field. We are particularly interested in demonstrations of:
  - representation and application of regulations and industry standards
  - integration and automation of knowledge intensive work processes
  - liberating data from enterprise applications

The report must explain the novelty of the reported use case, and
should emphasise the “how” and “why”, such as:
  - motivate and explain the choice of tools and methods used
  - motivate and explain the architectural and design choices made to
    ensure scalability
  - lessons learnt, positive and negative, compromises and limitations
  - the costs and benefits of the use of semantic technologies over
    other technologies

We encourage reports that make use of open source tools and resources,
and where the lessons learnt are also presented as challenges in order
to foster new research and developments by the community.  In-use
papers must be between 10 and 15 pages excluding references.

*Challenge papers* present open problems motivated by real-world needs
which clearly fall within the scope of the workshop. The problem
should be clearly motivated and described by explaining why the
problem is relevant for the workshop and the potential value of
solving the problem. The paper should reflect over related work and
possible solutions and non-solutions.

Authors of a selection of accepted challenge papers and in use papers
that contain challenges will be invited to the industry panel.

Challenge papers must be no longer than 4 pages excluding references.



Martin G. Skjæveland, University of Oslo
Ian Horrocks, University of Oxford
Daniel P. Lupp, University of Oslo
Johan W. Klüwer, DNV GL
Christian Kindermann, University of Manchester



Aidan Hogan
Alan Ruttenberg
Alba Fernandez
Alessandro Adamou
Anastasia Dimou
Bijan Parsia
Boris Motik
Ernesto Jimenez-Ruiz
Eva Blomqvist
Evgeny Kharlamov
Francisco Martin-Recuerda
Frank Van Harmelen
Gezim Sejdiu
Giancarlo Guizzardi
Ioan Toma
Jeff Z. Pan
Jens Wissmann
Juan Sequeda
Laurent Pierre
Mariano Rodríguez Muro
Markus Krötzsch
Martin Giese
Maxime Lefrançois
Ognjen Savkovic
Oscar Corcho
Paul Groth
Peter Haase
Petr Kremen
Rafael S. Gonçalves
Roman Kontchakov
Steffen Staab
Uli Sattler
York Sure-Vetter

Received on Friday, 20 March 2020 13:17:57 UTC