Workshop on Scalable Knowledge Graph Engineering 2020
While the use of knowledge bases is rapidly 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 scalable knowledge engineering tools and methodologies. Moreover, the development, maintenance, and use of knowledge bases and the tools and methods that are built to support these tasks usually require considerable specialist training. Enterprises that wish to explore the benefits of using semantic technologies will likely lack the necessary competence and will find that there are a few off-the-shelf ontologies, tools, and methodologies that fit their existing system architecture and information flow.
The workshop wants to attract and stimulate novel research and innovative advances of semantic technologies with the aim of making these technologies more easily accessible to and useful for modern data-driven industries. The workshop also wants to investigate where the real world problems are, and where and what are the current show-stoppers for efficient large-scale deployments of ontology-based information systems?
|Abstract submission deadline, optional||August 5, 2020|
|Paper Submission Deadline||August 7, 2020|
|Notification of Acceptance||August 25, 2020|
|Deadline Camera-Ready||September 1, 2020|
|Workshop||September 16, 2020|
The dates have been extended to accommodate the extension of the EKAW 2020 deadline and the time required by JOWO to prepare the proceedings.
Since the dates are very tight, we encourage authors to register your paper by submitting an abstract before the paper deadline, as this will help us to better organise the review process. Thank you!
Call for Papers
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 architecture
- 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, see Program.
Challenge papers must be no longer than 4 pages excluding references.
Papers must be submitted using EasyChair, https://easychair.org/conferences/?conf=jowo2020, select "Workshop on Scalable Knowledge Graph Engineering" as track. For more details on the different kinds of submissions, see Call for Papers.
All papers must be in PDF and formatted in the style of the IOS Press style. Accepted papers, along with papers from other JOWO workshops, will be published in a joint volume in the CEUR-WS IAOA series.
The SKALE workshop will be organised as a virtual workshop with peer-reviews and proceedings as planned.
We have yet to decide on the format of the workshop event, but anticipate that experiences from EKAW 2020 and other conferences and workshops, including feedback from authors and reviewers will help us to decide.
The details will be published here once they are ready.
- Aidan Hogan (DCC, Universidad de Chile)
- Alan Ruttenberg
- Alba Fernandez (Universidad Politécnica de Madrid)
- Alessandro Adamou (The Open University)
- Anastasia Dimou (Ghent University)
- Bijan Parsia (The University of Manchester)
- Boris Motik (University of Oxford)
- Ernesto Jimenez-Ruiz (City, University of London)
- Eva Blomqvist (Linköping University)
- Evgeny Kharlamov (University of Oslo)
- Francisco Martin-Recuerda (DNV GL)
- Frank Van Harmelen (Vrije Universiteit Amsterdam)
- Gezim Sejdiu (University of Bonn)
- Giancarlo Guizzardi (Federal University of Espirito Santo (UFES))
- Ioan Toma (STI Innsbruck)
- Jeff Z. Pan (University of Aberdeen)
- Jens Wissmann (Festo AG & Co. KG)
- Juan Sequeda (data.world)
- Laurent Pierre (Electricité De France)
- Mariano Rodríguez Muro (Google)
- Markus Krötzsch (TU Dresden)
- Martin Giese (University of Oslo)
- Maxime Lefrançois (MINES Saint-Etienne)
- Ognjen Savkovic (Free University of Bolzano)
- Oscar Corcho (Universidad Politécnica de Madrid)
- Paul Groth (University of Amsterdam)
- Peter Haase (metaphacts)
- Petr Kremen (Czech Technical University in Prague)
- Rafael S. Gonçalves (Stanford University)
- Roman Kontchakov (Birkbeck, University of London)
- Steffen Staab (IPVS, Universität Stuttgart, DE and WAIS, University of Southampton, UK)
- Uli Sattler (University of Manchester)
- York Sure-Vetter (Karlsruhe Institute of Technology)