EKAW 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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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 learning 

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)

Committees

• Co-Organizers
• General Co-Chairs
  • some person, some affiliation, country

• PC Co-Chairs
  • some person, some affiliation, country

• Workshop Chair
  • some person, some affiliation, country

• Panel Chair
  • some person, some affiliation, country

• Seminars Chair
  • some person, some affiliation, country

• Demonstration Co-Chairs
  • some person, some affiliation, country
  • some person, some affiliation, country

• Local Organizing Co-Chairs
  • some person, some affiliation, country

• Program Committee Members
  • some person, some affiliation, country