Call for Papers

Semantics and Knowledge

We invite research contributions to the Semantics and Knowledge Track at the 31st edition of The Web Conference series (formerly known as WWW), to be held April 20-24, 2020 in Taipei (

Knowledge graphs and other forms of structured data models with machine-interpretable semantics have been widely adopted online in support of more intelligent search services and in other applications. Simultaneously, we are seeing a significant fraction of web pages containing Semantic Web markup. Many of next-generation applications and IoTs/devices draw some of their power from such markup occurring not just in web pages but also in email and other communication. 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 new challenges that are the focus of the Semantics and Knowledge track. The emphasis this year will be on the creation of large scale structured data, on bridging structured and unstructured data, and on new techniques for (human-assisted) semantic processing of large, real-world datasets. We are looking for research that is targeting 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
  • Semantic annotation, enhancement, enrichments, and/or integration of a variety of data, including 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 and security and privacy issues in managing structured and semantic data
  • 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.

Track Co-Chairs:

Geert-Jan Houben , Delft University of Technology
Lora Aroyo , Google