Difference between revisions of "EKAW 2020"

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|City=Bozen-Bolzano
 
|City=Bozen-Bolzano
 
|Country=Italy
 
|Country=Italy
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|Submission deadline=2020/04/30
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|Abstract deadline=2020/04/23
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|Notification=2020/06/23
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|Camera ready=2020/07/02
 
|has general chair=Oliver Kutz, Rafael Peñaloza
 
|has general chair=Oliver Kutz, Rafael Peñaloza
 
|has program chair=Michel Dumontier, Maria Keet
 
|has program chair=Michel Dumontier, Maria Keet

Revision as of 12:16, 17 February 2020

EKAW 2020
22nd International Conference on Knowledge Engineering and Knowledge Management
Event in series EKAW
Dates 2020/09/16 (iCal) - 2020/09/20
Homepage: https://ekaw2020.inf.unibz.it/
Location
Location: Bozen-Bolzano, Italy
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Important dates
Abstracts: 2020/04/23
Submissions: 2020/04/30
Notification: 2020/06/23
Camera ready due: 2020/07/02
Committees
General chairs: Oliver Kutz, Rafael Peñaloza
PC chairs: Michel Dumontier, Maria Keet
Workshop chairs: Anastasia Dimou, Karl Hammar
Demo chairs: Daniel Garijo, Agnieszka Lawrynowicz
Table of Contents


22nd International Conference on Knowledge Engineering and Knowledge Management

Topics

Ethical and Trustworthy Knowledge Engineering

  • Ethics and trust in automated reasoning
  • Algorithmic transparency and explanations for knowledge-based systems
  • Knowledge and ethics
  • Ontologies for trust and ethics
  • Trust and privacy in knowledge representation


Knowledge Engineering and Acquisition

  • Tools and methodologies for ontology engineering
  • Ontology design patterns
  • Ontology localisation
  • Multilinguality in ontologies
  • Ontology alignment
  • Knowledge authoring and semantic annotation
  • Knowledge acquisition from non-ontological resources (thesauri, folksonomies, etc.)
  • Semi-automatic knowledge acquisition, e.g., ontology learning
  • Collaborative knowledge acquisition and formalisation
  • Mining the Semantic Web and the Web of Data
  • Ontology evaluation and metrics
  • Uncertainty and vagueness in knowledge representation
  • Dealing with dynamic, distributed and emerging knowledge


Knowledge Management

  • Methodologies and tools for knowledge management
  • Knowledge sharing and distribution, collaboration
  • Best practices and lessons learned from case studies
  • Provenance and trust in knowledge management
  • FAIR data and knowledge
  • Methods for accelerating take-up of knowledge management technologies
  • Corporate memories for knowledge management
  • Knowledge evolution, maintenance and preservation
  • Incentives for human knowledge acquisition and data quality improvement (e.g. games with a purpose)


Social and Cognitive Aspects of Knowledge Representation

  • Similarity and analogy-based reasoning
  • Knowledge representation inspired by cognitive science
  • Synergies between humans and machines
  • Knowledge emerging from user interaction and networks
  • Knowledge ecosystems
  • Expert finding, e.g., by social network analysis
  • Collaborative and social approaches to knowledge management and acquisition
  • Crowdsourcing in knowledge management


Knowledge discovery

  • Mining patterns and association rules
  • Mining complex data: numbers, sequences, trees, graphs
  • Formal Concept Analysis and extensions
  • Numerical data mining methods and knowledge processing
  • Mining the web of data for knowledge construction
  • Text mining and ontology engineering
  • Classification and clustering for knowledge management
  • Symbolic and sub-symbolic learning machine learningÂ


Applications in specific domains such as

  • eGovernment and public administration
  • Life sciences, health and medicine
  • Humanities and Social Sciences
  • Automotive and manufacturing industry
  • Cultural heritage
  • Digital libraries
  • Geosciences
  • ICT4D (Knowledge in the developing world)


Submissions

Pre-submission of abstracts is a strict requirement. All papers and abstracts have to be submitted electronically via Easychair. All submissions for research, in-use, and position papers must be in English, and no longer than 15 pages. Papers that exceed this limit will be rejected without review.

Submissions must be in PDF, formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer”s Author Instructions.


Important Dates

Abstract deadline: April 23, 2020
Submission deadline: April 30, 2020
Notification of acceptance: June 23, 2020
Camera-ready paper: July 2, 2020
Conference days: September 16-20, 2020

All submission deadlines are 23:59:59 Hawaii Time.


Committees

General Chairs

  • Oliver Kutz (Bolzano)
  • Rafael Peñaloza (Milano)


PC Chairs

  • Michel Dumontier (Maastricht)
  • Maria Keet (Cape Town)


Workshop Chairs

  • Anastasia Dimou (Gent)
  • Karl Hammar (Jönköping)


Posters & Demos

  • Daniel Garijo
  • Agnieszka Lawrynowicz (Poznan)


Publicity

  • Rafael Gonçalves (Stanford)


Doctoral Consortium

  • tbd


Local Organising Committee

  • Pietro Galliani (Bolzano)
  • Guendalina Righetti (Bolzano)
  • Nicolas Troquard (Bolzano)


Registration and Accommodation

  • UNIBZ Event Management Office
Facts about "EKAW 2020"
Abstract deadlineApril 23, 2020 +
AcronymEKAW 2020 +
Camera ready dueJuly 2, 2020 +
End dateSeptember 20, 2020 +
Event in seriesEKAW +
Event typeConference +
Has coordinates46° 29' 55", 11° 21' 17"Latitude: 46.498477777778
Longitude: 11.354738888889
+
Has demo chairDaniel Garijo + and Agnieszka Lawrynowicz +
Has general chairOliver Kutz + and Rafael Peñaloza +
Has location cityBozen-Bolzano +
Has location countryCategory:Italy +
Has program chairMichel Dumontier + and Maria Keet +
Has workshop chairAnastasia Dimou + and Karl Hammar +
Homepagehttps://ekaw2020.inf.unibz.it/ +
IsAEvent +
NotificationJune 23, 2020 +
Start dateSeptember 16, 2020 +
Submission deadlineApril 30, 2020 +
Title22nd International Conference on Knowledge Engineering and Knowledge Management +