We invite research contributions to the Semantics and Knowledge track at the 32nd edition of The Web Conference series (formerly known as WWW), to be hosted at Austin, TX, US, on April 30 - May 4, 2023 ( https://www2023.thewebconf.org/)
Knowledge graphs and other forms of structured data models with machine-interpretable semantics are being widely adopted and serve as the basis for many advanced applications on the Web, powered by combinations of and use of Web Data, with techniques from many other fields. A significant fraction of web pages, emails and other types of documents contain semantic markup, including open, closed and even personal data, forming a parallel Web of linked data that are empowering research in areas ranging from basic science and engineering to the social sciences and social benefit.
These successes have opened the doors to challenges that are the focus of the Semantics and Knowledge track. This includes the creation, acquisition, publication and consumption of large scale, interlinked structured data corpora – available on the web – bridging structured and unstructured data, and techniques for (human-assisted) semantic integration, enrichment and processing of large, real-world datasets in a Web context. This also includes aspects related to the management of provenance, trust, security and privacy, and ethics. We are looking for open research on web data at web scale.
Authors should consult the conference’s main Research Track CFP to ensure their submissions are aligned with broader conference expectations, scope, and theme: “Web Research with Openness, Fairness and Reproducibility”. The CFP also details submission guidelines, relevant dates, and important policies.
Submissions that are out of scope or unresponsive to the call above will be rejected early during the reviewing process (“desk rejected”) with minimal feedback. Desk rejects include submissions of the types below:
In case you have doubts whether your paper fits the scope of this track, please contact the track chairs: firstname.lastname@example.org