{"id":8021,"date":"2022-10-04T19:01:19","date_gmt":"2022-10-04T17:01:19","guid":{"rendered":"https:\/\/2023.eswc-conferences.org\/?page_id=8021"},"modified":"2023-01-03T10:04:16","modified_gmt":"2023-01-03T09:04:16","slug":"call-for-papers-research-track","status":"publish","type":"page","link":"https:\/\/2023.eswc-conferences.org\/call-for-papers-research-track\/","title":{"rendered":"Call for Papers: Research Track"},"content":{"rendered":"
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.<\/p>\n
Submissions are solicited in the following domains of interest:<\/p>\n
Delineation from the other Tracks<\/b><\/p>\n
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.<\/span><\/p>\n Papers that reuse and apply state-of-the art semantic technology or resources in practical settings should be submitted to the in-use track (i.e., the novelty falls into the in-use application of the semantic technology or resource).<\/span><\/p>\n 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.<\/span><\/p>\n Papers describing concrete resources (datasets, ontologies, vocabularies, annotated corpora, workflows, knowledge graphs, evaluation benchmarks, etc.) should be submitted to the resources track.<\/span><\/p>\n Note that research, in-use and resource papers are published within the same proceedings by Springer\u2019s Lecture Notes in Computer Science series.<\/span><\/p>\n Review Criteria<\/b><\/p>\n Papers in the research track will be reviewed according to the following criteria:<\/p>\n 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.<\/p>\n Negative results should be reported as well.\u00a0 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.<\/p>\n Important Dates<\/b><\/p>\n\n