The research track of ESWC 2020 is looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. We also encourage contributions to research at the intersection of Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant research on the Semantic Web, and are expected to provide some principled means of evaluation. Specifically, all papers should include evaluations of the approaches described in the paper. We strongly encourage evaluations that are repeatable. We also strongly encourage papers that provide links to: the data sets, source code, queries and other resources.
Based on previous years submissions, this year we are setting up ten research tracks that reflect some of the main research areas of the Semantic Web and its intersection with other scientific disciplines:
Ontologies and Reasoning
Natural Language Processing and Information Retrieval
Semantic Data Management and Data Infrastructures
Social and Human Aspects of the Semantic Web
Machine Learning
Distribution and Decentralization
Research of Research
Security, Privacy, Licensing & Trust
Knowledge Graphs
Integration, Services and APIs