The research track of ESWC 2021 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 the 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.

We have reworked the topics of our research track. Please take a look at the individual calls for papers for these subtracks:

    Data Dynamics, Quality, and Trust
    Knowledge Graphs
    Machine Learning
    Matching, Integration, and Fusion
    NLP and Information Retrieval
    Ontologies and Reasoning
    Problems to Solve Before You Die
    Replication Studies
    Science Data and Scholarly Communication
    Semantic Data Management, Querying, and Distributed Data