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9th International Conference on Knowledge Capture(K-CAP 2017)
Call for Papers:
The Ninth International Conference on Knowledge Capture, K-CAP 2017 will feature a full papers track for research papers as well as an application papers track. However, this year’s edition will also include a third track for short papers, vision papers, and late breaking results with a deadline in late September. The main program will be accompanied by workshops on a range of related topics.The special theme of the conference this year will be on Knowledge Graphs from Heterogeneous Data. Therefore, we especially encourage submissions of papers on the topics such as
- Extracting knowledge graphs from unstructured/semi-structured and multi-media data
- Summarization techniques for knowledge graphs
- Summarization techniques for knowledge graphs
- Statistical analysis from Web data
- Services and API for knowledge graphs
- Addressing scalability issues for distributed knowledge graphs
- Provenance, trust, and credibility as they relate to knowledge graphs
- Enrichment and cleaning of knowledge graphs and alignment to existing graphs
- Hybrid approaches for knowledge capture combining knowledge engineering and machine learning
- Data dynamicity, heterogeneity, and decay in knowledge intensive systems
Submissions on more general topics, traditionally covered by the K-CAP conference series, are highly encouraged, including but not restricting to:
- Knowledge acquisition
- Knowledge authoring
- Knowledge extraction
- Knowledge management
- Knowledge publication
- Knowledge capture for the Semantic Web and the Web of Linked Data
- Knowledge capture and enrichment in specific domains such as the earth sciences
- Collaborative and social approaches to knowledge management and acquisition
- Crowdsourcing for knowledge capture and refinement
- Knowledge Capture from Social Environments and Contexts
- Mixed-initiative planning and decision-support
- Problem-solving knowledge and methods
- Knowledge-based markup techniques
- Knowledge engineering and modeling methodologies
- Narrative intelligence
- Knowledge capture through storytelling
- Provenance and trust issues in knowledge intensive systems
- Services and applications that enable or utilize data capture techniques
- Semantic search and query enrichment
- Ontology engineering and engineering methodologies
- Ontology design patterns
- Similarity measurement and Analogy-based reasoning
IMPORTANT DATES:
Research and application full papers
- Submission: July 28, 2017
- Notification: September 15, 2017
- Camera ready: September 29, 2017
Short, vision,and late breaking results papers
- Submission: September 22, 2017
- Notification: October 16, 2017
- Camera ready: October 23, 2017
Conference
- Workshops/Tutorials: December 4, 2017
- Main Conference: December 5-6, 2017
User Name : srav
Posted 25-05-2017 on 11:18:58 AEDT
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