EKAW 2020
Revision as of 12:02, 17 February 2020 by Tolga.karaarslan (talk | contribs)
| 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 | 
| 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)
 
Submissions
Important Dates
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