Difference between revisions of "EKAW 2020"

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|City=Bozen-Bolzano
 
|City=Bozen-Bolzano
 
|Country=Italy
 
|Country=Italy
 +
|Submission deadline=2020/04/30
 +
|Abstract deadline=2020/04/23
 +
|Notification=2020/06/23
 +
|Camera ready=2020/07/02
 +
|Has coordinator=Faculty of Computer Science, Free University of Bozen-Bolzano, Research Centre on Knowledge and Data (KRDB)
 +
|has general chair=Oliver Kutz, Rafael Peñaloza
 +
|has program chair=Michel Dumontier, Maria Keet
 +
|has workshop chair=Anastasia Dimou, Karl Hammar
 +
|has demo chair=Daniel Garijo, Agnieszka Lawrynowicz
 
}}
 
}}
 
'''22nd International Conference on Knowledge Engineering and Knowledge Management'''
 
'''22nd International Conference on Knowledge Engineering and Knowledge Management'''
Line 15: Line 24:
 
==Topics==
 
==Topics==
  
Ethical and Trustworthy Knowledge Engineering
+
'''Ethical and Trustworthy Knowledge Engineering'''
  
    Ethics and trust in automated reasoning
+
*Ethics and trust in automated reasoning
    Algorithmic transparency and explanations for knowledge-based systems
+
*Algorithmic transparency and explanations for knowledge-based systems
    Knowledge and ethics
+
*Knowledge and ethics
    Ontologies for trust and ethics
+
*Ontologies for trust and ethics
    Trust and privacy in knowledge representation
+
*Trust and privacy in knowledge representation
  
Knowledge Engineering and Acquisition
 
  
    Tools and methodologies for ontology engineering
+
'''Knowledge Engineering and Acquisition'''
    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
+
*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 <br>
  
    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
+
'''Knowledge Management'''
  
    Similarity and analogy-based reasoning
+
*Methodologies and tools for knowledge management
    Knowledge representation inspired by cognitive science
+
*Knowledge sharing and distribution, collaboration
    Synergies between humans and machines
+
*Best practices and lessons learned from case studies
    Knowledge emerging from user interaction and networks
+
*Provenance and trust in knowledge management
    Knowledge ecosystems
+
*FAIR data and knowledge
    Expert finding, e.g., by social network analysis
+
*Methods for accelerating take-up of knowledge management technologies
    Collaborative and social approaches to knowledge management and acquisition
+
*Corporate memories for knowledge management
    Crowdsourcing in knowledge management
+
*Knowledge evolution, maintenance and preservation
 +
*Incentives for human knowledge acquisition and data quality improvement (e.g. games with a purpose) <br>
  
Knowledge discovery
 
  
    Mining patterns and association rules
+
'''Social and Cognitive Aspects of Knowledge Representation'''
    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
+
*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 <br>
 +
 
 +
 
 +
'''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 learning <br>
 +
 
 +
 
 +
'''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)<br>
  
    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==
 
==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.<br>
 +
 +
 
==Important Dates==
 
==Important Dates==
 +
 +
Abstract deadline: April 23, 2020<br>
 +
Submission deadline: April 30, 2020<br>
 +
Notification of acceptance: June 23, 2020<br>
 +
Camera-ready paper: July 2, 2020<br>
 +
Conference days: September 16-20, 2020
 +
 +
All submission deadlines are 23:59:59 Hawaii Time.
 +
 +
  
 
==Committees==
 
==Committees==
* Co-Organizers
 
* General Co-Chairs
 
** [[has general chair::some person]], some affiliation, country
 
  
* PC Co-Chairs
+
'''General Chairs'''
** [[has program chair::some person]], some affiliation, country
+
*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)
  
* Workshop Chair
 
** [[has workshop chair::some person]], some affiliation, country
 
  
* Panel Chair
+
'''Doctoral Consortium'''
** [[has OC member::some person]], some affiliation, country
+
*tbd
  
* Seminars Chair
 
** [[has tutorial chair::some person]], some affiliation, country
 
  
* Demonstration Co-Chairs
+
'''Local Organising Committee'''
** [[has demo chair::some person]], some affiliation, country
+
*Pietro Galliani (Bolzano)
** [[has demo chair::some person]], some affiliation, country
+
*Guendalina Righetti (Bolzano)
 +
*Nicolas Troquard (Bolzano)
  
* Local Organizing Co-Chairs
 
** [[has local chair::some person]], some affiliation, country
 
  
* Program Committee Members
+
'''Registration and Accommodation'''
** [[has PC member::some person]], some affiliation, country
+
*UNIBZ Event Management Office

Latest revision as of 12:18, 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
Loading map...

Important dates
Abstracts: 2020/04/23
Submissions: 2020/04/30
Notification: 2020/06/23
Camera ready due: 2020/07/02
Committees
Organizers: Faculty of Computer Science, Free University of Bozen-Bolzano, Research Centre on Knowledge and Data (KRDB)
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