Track chairs:

  • Oscar Corcho (Universidad Politécnica de Madrid, Spain)
  • Juanzi Li (Tsinghua University, China)


We invite research contributions to the Semantics and Knowledge track at the 30th edition of the Web Conference series (formerly known as WWW), to be held April 19-23, 2021 in Ljubljana, Slovenia (

 Knowledge graphs and other forms of structured data models with machine-interpretable semantics are being widely adopted to support many types of applications and as the basis for many machine learning tasks. We can also see a significant fraction of web pages, emails and other types of documents containing semantic markup, including open, closed and even personal data. Linked, open data sets are also revolutionizing research in areas ranging from basic science and engineering to the social sciences and social goodness.

 These successes have opened the doors to challenges that are the focus of the Semantics and Knowledge track. This includes the creation of large scale structured data, bridging structured and unstructured data, and techniques for (human-assisted) semantic processing of large, real-world datasets. And it also includes aspects related to the management of provenance, trust, security and privacy, and ethics. We are looking for research that targets these challenges at Web-scale scenarios, and that is Web-based or at least minimally employs open world assumptions.

 Topics include (but are not limited to):

  • Scalable Techniques for the Creation of Large, Web-based, Structured, Reusable, Knowledge Graphs, including Methods for Developing and Maintaining Shared Vocabularies/Ontologies Representation , Semantic Annotation, Enhancement, Enrichments, Access and/or Integration of a Variety of Data, including Semi-structured Data, Text, Multimedia and Sensor Data
  • Data Modeling and Inference using Semantic Data in Support of Enabling Intelligent System Behavior, Explanations and User-friendly Interaction
  • Provenance, Trust, Security and Privacy, and Ethical Issues in Managing Semantic Data
  • Exploitation of Semantic Data for Machine Learning Tasks
  • Applications of Semantic Technologies for Improving Search, Browsing, Personalization in Applications and Domains of Interest to the Web Community, e.g. News, Recommendations, Humanities, Social Sciences, Medical, etc.

Submission guidelines, relevant dates, and important policies can be found at

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