[Corpora-List] [Deadline extended] CFP SeBiLAn at WWW2022: The International Workshop on Semantics-enabled Biomedical Literature Analytics

Halil Kilicoglu halil.kilicoglu at gmail.com
Wed Jan 26 19:57:53 CET 2022

*** Apologies for cross-posting ***

We invite paper submissions to the Semantics-enabled Biomedical Literature Analytics (SeBiLAn) Workshop, to be held April 25-26, 2022 at WWW 2022.

*Semantics-enabled Biomedical Literature Analytics (SeBiLAn2022)*


To be held jointly with TheWebConf 2022 (The International World Wide Web (WWW2022) Conference)

*https://www2022.thewebconf.org/ <https://www2022.thewebconf.org/>*



* Submission deadline*: February 3, 2022 *extended to February 10, 2022*

*Acceptance notifications*: March 3, 2022

*Source files and Camera-ready PDFs*: March 10, 2022

*Workshop*: April 25-26, 2022 (Virtual)



We will have an invited speaker and panel session. The topic of this year’s panel will be: “Knowledge Representation and Semantics for Biomedical Knowledge Synthesis and Literature Review.”


- *Karin Verspoor*, Dean, School of Computing Technologies, RMIT



- *Trevor Cohen*, Professor, Department of Biomedical Informatics and

Medical Education, University of Washington

- *Melissa Haendel*, Professor and Chief Research Informatics Officer,

Marsico Chair in Data Science, School of Medicine, University of Colorado


- *Chunhua Weng*, Professor, Department of Biomedical Informatics,

Columbia University

- *Guido Zuccon*, Associate Professor, Information Technology and

Electrical Engineering School, University of Queensland



The main objective of this workshop is to bring together researchers from Web search, Information Retrieval, Knowledge Representation, Natural Language Processing, and Biomedical Informatics communities to present and discuss the latest methods and results in biomedical information and knowledge extraction, representation, integration, analysis and retrieval. The distinguishing feature of this workshop is its focus on leveraging semantics-based techniques for biomedical literature analysis and retrieval. This further means that it puts rigorous attention on semantics-based techniques that allow for the creation, analysis, and integration of biomedical knowledge bases, with the ultimate objective of employing such knowledge bases for literature-based knowledge discovery, improving search performance over biomedical literature, or enhancing biomedical information extraction.

The topics of interest to the workshop include, but are not limited to:

- Knowledge representation and semantics for biomedical literature


- Knowledge graphs in biomedical search

- Biomedical knowledge source integration

- Biomedical knowledge graph construction and embedding

- Biomedical ontologies in search

- Semantic features in biomedical literature classification and ranking

- Biomedical information extraction

- Biomedical literature-based knowledge discovery

- Learning to rank biomedical literature

- Semantics and search for biomedical knowledge synthesis and systematic

literature review

- Entity linking and semantic annotation in biomedical texts

- Datasets, metrics, and evaluation

- Knowledge discovery / synthesis from literature

- Knowledge integration from multilingual biomedical literature



Workshop papers should not have been previously published, should not be considered for publication, and should not be under review for another workshop, conference, or journal. They should be no more than 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF according to the ACM format published in the ACM guidelines <https://www.acm.org/publications/proceedings-template>, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English.

*Submission Link:*




- Faezeh Ensan (Ryerson University)

- Halil Kilicoglu (University of Illinois, Urbana-Champaign)

- Bridget McInnes (Virginia Commonwealth University)

- Lucy Lu Wang (Allen Institute for AI)


- Aurélie Névéol, Université Paris-Saclay, CNRS, LISN, France

- Asma Ben Abacha, US National Library of Medicine, US

- Olivier Bodenreider, US National Library of Medicine, US

- Martin Krallinger, Barcelona Supercomputing Center, Spain

- Ted Pedersen, University of Minnesota, US

- Fabio Rinaldi, Dalle Molle Institute for Artificial Intelligence

Research (IDSIA), Switzerland

- Anthony Rios, University of Texas San Antonio, US

- Trevor Cohen, University of Washington, US

- Neil Smalheiser, University of Illinois at Chicago, US

- Samuel Henry, Christopher Newport University, US



*Associate Professor*

School of Information Sciences

University of Illinois at Urbana-Champaign

halil at illinois.edu <rpgeraci at illinois.edu>


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