EKAW 2020: Difference between revisions
No edit summary |
No edit summary |
||
| Line 15: | Line 15: | ||
==Topics== | ==Topics== | ||
Ethical and Trustworthy Knowledge Engineering | '''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 <br> | |||
Knowledge Engineering and Acquisition | '''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 <br> | |||
Knowledge Management | '''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) <br> | |||
Social and Cognitive Aspects of Knowledge Representation | '''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 <br> | |||
Knowledge discovery | '''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 | '''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> | |||
==Submissions== | ==Submissions== | ||
Revision as of 11:02, 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 |
| 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
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