Thursday, August 12, 2021

CfP: Knowledge Engineering

 



The Journal of Web Semantics invites submissions for a special issue on Knowledge Engineering, to be edited by Juan Sequeda, Paul Groth and Eva Blomqvist.

Submissions are due by January 20, 2022.

Knowledge graphs are central to a variety of intelligent applications including semantic search, recommendation, conversational agents  and data analytics. Their construction and maintenance is facilitated by complex combinations of  machine (e.g. information extraction, schema alignment) and human (crowdsourcing, curation) components.  While there is significant previous work in the field of knowledge engineering, large-scale knowledge graphs give rise to new questions about knowledge modelling and knowledge acquisition, including the balance between humans and machines, and the ability to maintain knowledge and data at scale.  In that light, this special issue seeks novel research in the area of knowledge engineering that tackles the challenges presented by large scale knowledge graphs,

Topics of interest include (but are not limited to) the following:

  • Knowledge engineering methodologies for human-machine teams
  • Agile knowledge engineering and prototyping
  • Knowledge engineering for machine learning
  • Machine learning support for manual knowledge engineering
  • Knowledge graph evolution and maintenance approaches
  • The combination of modern software engineering and knowledge engineering
  • Design patterns in the area of large-scale knowledge engineering
  • Ontology debugging and diagnosis for knowledge at scale
  • The combination of knowledge and data engineering
  • User studies for knowledge engineering  human-machine teams

 Guest Editors

Paul Groth - University of Amsterdam, p.groth@uva.nl,
Paul is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab). His research focuses intelligent systems for the integration and use of diverse information with a particular emphasis on data provenance. He  has authored over 100 scientific publications in leading venues. He has served in senior organizational roles at  ISWC, ESWC, and the Web Conference.

Eva Blomqvist - Linköping University, eva.blomqvist@liu.se
Eva is associate professor in Computer Science at Linköping University, in the Human-Centred Systems division, and the Semantic Web research group. Her research targets knowledge modelling and engineering, in particular the development and use of ontologies as schemas for knowledge graphs, and the use of knowledge graphs for semantic interoperability in various fields, such as security and e-health. Eva is the scientific program co-chair of the International Semantic Web conference in 2021, and has chaired several other scientific conferences. She has authored over 50 scientific publications in high-quality venues.

Juan Sequeda - data.world - juan@data.world 
Juan Sequeda is the Principal Scientist at data.world. Juan's goal is to reliably create knowledge from inscrutable data. His research and industry work has been on designing and building Knowledge Graph for enterprise data integration where he has researched and developed technologies for semantic and graph data virtualization, ontology and graph data modeling and schema mapping, and data integration methodologies. Juan serves as a bridge between academia and industry through standardization committees and organizers of scientific venues, such as the general chair of The Web Conference 2023.

Review committee

  • Frank van Harmelen (Vrije Universiteit Amsterdam)
  • Stefan Schlobach (Vrije Universiteit Amsterdam)
  • Steffen Staab (Universität Stuttgart)
  • Oscar Corcho (UPM)
  • Elena Simperl (King’s College London)
  • Enrico Motta (Open University)
  • Daniel Garijo (UPM)
  • Katja Hose ( Aalborg University)
  • Sofia Pinto (Technical University of Lisbon)
  • George Fletcher (University of Eindhoven)

Additional reviewers TBC

Important Dates

  • Call for papers:              12 August 2021
  • Submission deadline:    20 January 2022
  • Author notification:       31 March 2022
  • Revisions:                      29 April 2022
  • Final Notification:         31 May 2022
  • Publication:                    Q3 2022

Submission guidelines

The Journal of Web Semantics solicits original scientific contributions of high quality. Following the overall mission of the journal, we emphasize the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services.

Submission of your manuscript is welcome provided that it, or any translation of it, has not been copyrighted or published and is not being submitted for publication elsewhere.

Manuscripts should be prepared for publication in accordance with instructions given in the JWS guide for authors. The submission and review process will be carried out using Elsevier's Web-based EM system. Please state the name of the SI in your cover letter and, at the time of submission, please select “VSI:KE” when reaching the Article Type selection.

Upon acceptance of an article, the author(s) will be asked to transfer copyright of the article to the publisher. This transfer will ensure the widest possible dissemination of information. Elsevier's liberal preprint policy permits authors and their institutions to host preprints on their web sites. Preprints of the articles will be made freely accessible via JWS First Look. Final copies of accepted publications will appear in print and at Elsevier's archival online server.