Semantics and Knowledge

We invite research contributions for the 26th World Wide Web Conference Semantics and Knowledge Track.

The last few years have seen the mainstream adoption of semantic/structured data by widely used services such as Google/Bing search, Cortana, and Google Assistant. Simultaneously, we are seeing a significant (double digit) 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. Open data is also revolutionizing research in areas ranging from basic science and engineering to the social sciences.

These successes have opened the doors to new challenges that are the focus of the WWW Semantics and Knowledge track. The emphasis this year will be on the creation of knowledge bases, on bridging structured and unstructured data, and on new techniques for semantic processing of large, real-world datasets. The context of research needs to be web-scale or at least Web-based, or one that employs open world assumptions and the ones that are scalable. Approaches that focus on closed world assumptions, or methods applicable to small knowledge and datasets, are of less interest.

Topics of interest include, but are not limited to:

  • Scalable techniques for the creation of large, web-based, structured, reusable, knowledge graphs. Of interest are methods involving content markup using standard vocabularies (e.g.,, crowdsourcing (e.g., Wikidata), and automated domain model or knowledge base construction.
  • Semantic annotation, enhancement, enrichments, and/or integration of a variety of data: biological and physical (esp. sensor/IoT), cyber/Web-based (incl. structured and unstructured text and a variety of digital media), social, and multimodal; semantic information extraction (NER and relationship extraction/labeling/linking).
  • Data representation and models for scalable semantic computing — including the use of (probabilistic) graph models and all aspects that focus on identification/extraction/ representation/reasoning involving relationships (incl. moving from keywords/strings and entities/things to relationships and events).
  • Use of semantic annotations/enrichments for improving search, browsing, personalization, advertisement, etc.; semantic applications involving multimodal data (incl. spanning physical, cyber, and social); scalable services for domain- independent and domain-specific annotations and insights (esp. on novel issues such as intent and subjectivity) on the variety of content and their use in Web applications.
  • Semantics to enable intelligent or human-like behavior and human actions including cognitive and perceptual computing; scalable semantic applications for dynamic (incl. streaming) and high throughput (e.g., genome sequencing) content.
  • Bridging structured and unstructured data.

Track Chairs


  • Ramanathan Guha (Google)
  • Amit Sheth (Kno.e.sis at Wright state U.)

Program Committee

Pramod Anantharam Kno.e.sis Center
Kemafor Anyanwu North Carolina State University
Lora Aroyo VU University Amsterdam
Sören Auer University of Bonn & Fraunhofer IAIS
Payam Barnaghi University of Surrey
Sean Bechhofer University of Manchester
Christian Bizer University of Mannheim
Dan Brickley Google
Jean-Paul Calbimonte EPFL
Lei Chen Hong Kong University of Science and Technology
Lu Chen LinkedIn
Gong Cheng Nanjing University
Philipp Cimiano Bielefeld University
Oscar Corcho Universidad Politécnica de Madrid
Mathieu D'Aquin Knowledge Media Institute, the Open University
Tom De Nies Ghent University - iMinds - Data Science Lab
Stefan Decker RWTH Aachen
Emanuele Della Valle DEIB, Politecnico di Milano
Stefan Dietze L3S Research Center
Michel Dumontier Stanford University
Jérôme Euzenat INRIA & Univ. Grenoble
Miriam Fernandez Knowledge Media Institute - The Open University
Tim Finin University of Maryland, Baltimore County
Francois Goasdoue Univ. Rennes 1
Karthik Gomadam Ming Hsieh Deparment of Electrical Engineering, University of Southern California
Rafael S Gonçalves Stanford University
Dilek Hakkani-Tur Microsoft Research
Harry Halpin World Wide Web Consortium
Siegfried Handschuh University of Passau
Andreas Harth AIFB, Karlsruhe Institute of Technology
Olaf Hartig Hasso Plattner Institute
Manfred Hauswirth TU Berlin
Cory Henson Bosch Research and Technology Center
Johannes Hoffart Max Planck Institute for Informatics
Andreas Hotho University of Wuerzburg
Eero Hyvönen Aalto University
Krzysztof Janowicz University of California, Santa Barbara
Mustafa Jarrar Birzeit University
Lalana Kagal MIT
Pavan Kapanipathi Knoesis
Sabrina Kirrane Vienna University of Economics and Business - WU Wien
Craig Knoblock University of Southern California
Freddy Lecue Accenture Technology Labs
Vanessa Lopez IBM Research
David Martin Nuance Communications
Pablo Mendes IBM Research Almaden
Peter Mika Yahoo! Research
John Miller University of Georgia
Axel-Cyrille Ngonga Ngomo University of Leipzig
Jeff Z. Pan University of Aberdeen
Bijan Parsia University of Manchester
Sujan Perera IBM Watson Health & - Almaden Research Center
Matthew Perry Oracle
Dimitris Plexousakis Institute of Computer Science, FORTH
Axel Polleres Vienna University of Economics and Business - WU Wien
Valentina Presutti STLab (ISTC-CNR)
Hemant Purohit George Mason University
Marta Sabou Vienna University of Technology
Satya Sahoo Case Western Reserve University
Daniel Schwabe Dept. of Informatics, PUC-Rio
Juan F. Sequeda Capsenta Labs
Saeedeh Shekarpour Kno.e.sis Center, Wright State University


University of Washington, Seattle
Biplav Srivastava IBM Research
Steffen Staab University of Koblenz-Landau
Heiner Stuckenschmidt University of Mannheim
Fabian Suchanek Télécom ParisTech University
Vicki Tardif Holland Google
Krishnaprasad Thirunarayan Kno.e.sis Center, Wright State University
Thanh Tran Institute AIFB
Raphaël Troncy EURECOM
Giovanni Tummarello Siren Sokutions
Hai Zhuge Institute of Computing Technology, Chinese Academy of Sciences

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