20th International Conference on Knowledge Engineering and Knowledge Management
When : 2016-11-19
Where : Italy
Submission Deadline : 2016-07-15
Categories : Knowledge Management , Humanities, Art and Social Studies
EKAW 2016 : 20th International Conference on Knowledge Engineering and Knowledge Management
November 19 - 23, 2016.
Italy.
Call For Papers
The 20th International Conference on Knowledge Engineering and Knowledge Management is concerned with the impact of time and space on the representation of knowledge. Knowledge engineering has mostly been about creating static, universal representations. Yet the world is rarely static: everything changes, including the models, and real world systems need to evolve along with the surrounding world. Also, what makes some representations valid in some contexts may make them invalid elsewhere (e.g., jurisdiction for laws).
The special focus of this year's EKAW is "evolving knowledge", which concerns all aspects of the management and acquisition of knowledge representations of evolving, contextual, and local models. This includes change management, trend detection, model evolution, streaming data and stream reasoning, event processing, time-and space dependent models, contextual and local knowledge representations, etc.
Topics
EKAW 2016 welcomes papers dealing with theoretical, methodological, experimental, and application-oriented aspects of knowledge engineering and knowledge management. In particular, but not exclusively, we solicit papers about methods, tools and methodologies relevant with regard to the following topics:
- Knowledge in evolving and local contexts
- Model evolution
- Ontology evolution
- Ontology debugging
- Ontology change management and versioning
- Ontology usage trends
- Methods and methodologies for time awareness
- Modelling of time-indexed knowledge
- Ontology design patterns for time-indexed knowledge
- Reasoning over time-indexed knowledge
- Stream processing and stream reasoning
- Event processing
- Methods and methodologies for context awareness
- Modelling of contextualised knowledge
- Ontology design patterns for representing context
- Reasoning with context
- Context-aware knowledge-based applications
- Lessons learned from case studies
- Knowledge management in large organisations
- Adoption of semantic web technologies
- Maintenance of corporate knowledge repositories
- Applications in specific domains 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)
- Model evolution
- 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
- Methods for accelerating take-up of knowledge management technologies
- Corporate memories for knowledge management
- Evolution, maintenance and preservation of knowledge
- Web 2.0 technologies for knowledge management
- Incentives for human knowledge acquisition (e.g. games with a purpose)
- Knowledge Engineering and Acquisition
- Tools and methodologies for ontology engineering
- Ontology design patterns
- Ontology localisation
- Ontology alignment
- Knowledge authoring and semantic annotation
- Knowledge acquisition from non-ontological resources (thesauri, folksonomies etc.)
- Semi-automatic knowledge acquisition, e.g., ontology learning
- 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
- 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
- Trust and privacy in knowledge representation
- Collaborative and social approaches to knowledge management and acquisition
- Crowdsourcing in knowledge management
Important Dates
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