The research track of ESWC 2022 is looking for contributions addressing theoretical, analytical, and empirical aspects of the Semantic Web, semantic technologies, and semantics on the Web in general. We also encourage contributions at the intersection of these domains and other scientific disciplines. Submissions to the research track should describe novel, significant research, and are expected to provide a principled evaluation.
Submissions are solicited in the following domains of interest:
- Data quality, bias, transparency, and trust
- Knowledge graphs, query processing, and automated construction
- Machine learning on or for semantic data
- Matching, integration, and fusion of semantic data
- NLP, language models, and information retrieval
- Ontologies and reasoning
- Linked data
- Semantic data management, querying, and distributed data
- Data dynamics, internet of things, and mobile platforms
- Social and human aspects of the Semantic Web
- Science and Research Data Management
Delineation from the other Tracks
We strongly recommend that prospective authors carefully check the calls of the other main tracks of the conference in order to identify the optimal track for their submission.
Papers that describe the use of Semantic Web technologies in practical settings should be submitted to the in-use track.
Authors who want to present an interesting industry application but who do not want to submit a full paper should submit to the industry track.
Papers describing concrete resources (datasets, ontologies, vocabularies, annotated corpora, workflows, knowledge graphs, evaluation benchmarks, etc.) should be submitted to the resources track.
Papers in the research track will be reviewed according to the following criteria:
- Relevance and impact of the research contributions
- Design and execution of the evaluation of the work
- Clarity and quality of presentation
- Grounding in the literature and related work
- Reproducibility and availability of resources
We also encourage the submission of interesting and sound approaches, even if these do not fully outperform the state of the art. All papers should include evaluations of the approaches described in the paper. Evaluation metrics should be explained and justified. Negative results should be reported as well. Evaluations should be repeatable, and papers should provide links to the data sets, source code (including all the external dependencies and versions, as well as the necessary parameters), queries, and other resources.
|Abstract submission||December 2, 2021|
|Paper submission||December 9, 2021|
|Opening of rebuttal period||January 24, 2022|
|Closing of rebuttal period||January 24, 2022|
|Notification to authors||February 21, 2022|
|Camera-ready papers due||March 28, 2022|
- ESWC will not accept work that is under review or has already been published in or accepted for publication in a journal, another conference, or another ESWC track.
- Papers must pre-submit an abstract.
- The proceedings of this conference will be published in Springer’s Lecture Notes in Computer Science series. The preprints of the accepted papers will be available openly.
- Papers must not exceed 15 pages (plus unlimited references) and be in English.
- Submissions in the research track are double blind, and should not identify the authors. Use anonymous links (e.g., by Dropbox or similar services) or pseudo-anonymous Github repositories (e.g. https://anonymous.4open.science) for supplementary material. For more information on how to this check out https://ineed.coffee/post/how-to-disclose-data-for-double-blind-review-and-make-it-archived-open-data-upon-acceptance. Reviewers will not actively try to identify the authors.
- Submissions must be either in PDF or in HTML, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer’s Author Instructions. For HTML submission guidance, see the HTML submission guide.
- Authors will have the opportunity to submit a rebuttal to the reviews to clarify questions posed by program committee members.
- At least one author per contribution must register for the conference for presentation. The reviews of the accepted papers will be published online anonymously with permission of the authors and reviewers
Maria-Esther Vidal, Leibniz University of Hannover and TIB-Leibniz Information Centre for Science and Technology, Germany
Fabian M. Suchanek, Télécom Paris & Institut Polytechnique de Paris, France