The deadline for the Semantic Web Journal Special Issue on Wikidata was extended to 14.02. More information can be found here: https://www.semantic-web-journal.net/blog/call-papers-special-issue-wikidata...
We are looking forward to your contributions! The full call for papers is below.
Call for papers: Semantic Web Journal Special Issue on Wikidata: Construction, Evaluation and Applications
Wikidata is an openly available knowledge base, hosted by the Wikimedia Foundation. It can be accessed and edited by both humans and machines and acts as a common structured-data repository for several Wikimedia projects, including Wikipedia, Wiktionary, and Wikisource. It is used in a variety of semantic web applications by researchers and practitioners alike.
In recent years, we have seen an increase in the number of publications around Wikidata. While there are several dedicated venues for the broader Wikidata community to meet, none of them focuses on publishing comprehensive, peer-reviewed research. This special issue fills this gap - we hope to provide a forum to build this fledgling scientific community and promote novel work and resources that support it.
The special issue seeks original contributions and extended conference papers that address the opportunities and challenges of creating, contributing to, and using the global, collaborative, open-domain, multilingual knowledge graph Wikidata. Topics
Topics of submissions include, but are not limited to:
- Data quality and vandalism detection in Wikidata - Referencing in Wikidata - Anomaly, bias, or novelty detection in Wikidata - Algorithms for aligning Wikidata with other structured or semi-structured resources - Representation, Semantic Annotation, Enhancement and Enrichments using Wikidata - Semantic Parsing and Question Answering using Wikidata - The Semantic Web and Wikidata - Community interaction in Wikidata - Multilingual data in Wikidata and its reuse - Data quality in Wikidata: Approaches for problem detection, evaluation and improvement - Tools, bots, and datasets for improving or evaluating Wikidata - Participation, diversity, and inclusivity aspects in the Wikidata ecosystem - Human-bot interaction - Managing knowledge evolution in Wikidata - Abstract Wikipedia - Wikidata in NLP applications
Deadline
- Submission deadline: 14 February 2023 (extended!). Papers submitted before the deadline will be reviewed upon receipt.
Author Guidelines
Submissions shall be made through the Semantic Web journal website at http://www.semantic-web-journal.net. Prospective authors must take notice of the submission guidelines posted at http://www.semantic-web-journal.net/authors.
We welcome four main types of submissions: (i) full research papers, (ii) reports on tools and systems, (iii) dataset descriptions, and (iv) survey articles. The description of submission types is posted at http://www.semantic-web-journal.net/authors#types. While there is no upper limit, paper length must be justified by content.
Note that you need to request an account on the website for submitting a paper. Please indicate in the cover letter that it is for the "Wikidata" special issue. All manuscripts will be reviewed based on the SWJ open and transparent review policy and will be made available online during the review process.
Also note that the Semantic Web journal is open access http://www.semantic-web-journal.net/blog/open-access-swj-going-gold.
Finally please note that submissions must comply with the journal’s Open Science Data requirements, which are detailed in the corresponding blog post http://www.semantic-web-journal.net/blog/open-science-data-impending-changes-review-process-semantic-web-journal . Guest editors
The guest editors can be reached at wikidata-swj@googlegroups.com .
Lucie-Aimée Kaffee, University of Copenhagen, lucie.kaffee@gmail.com Simon Razniewski, Max Planck Institute for Informatics, srazniew@mpi-inf.mpg.de Pavlos Vougiouklis, Huawei Technologies, pavlos.vougiouklis@huawei.com Guest editorial board
to be expanded
Fariz Darari, University of Indonesia Houcemeddine Turki, University of Sfax, Tunisia Alasdair Gray, Heriot-Watt University, Edinburgh, UK Seyed Amir Hosseini Beghaeiraveri,Heriot-Watt University, Edinburgh, UK Daniel Garijo, UPM Nikos Papasarantopoulos, Huawei Technologies