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K-CAP 2017 : The Ninth International Conference on Knowledge Capture

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Conference Series : International Conference on Knowledge Capture
 
Link: http://k-cap2017.org/
 
When Dec 4, 2017 - Dec 6, 2017
Where Austin, Texas, USA
Submission Deadline Jul 28, 2017
Notification Due Sep 15, 2017
Final Version Due Sep 29, 2017
Categories    artificial intelligence   knowledge representation   machine learning
 

Call For Papers

== 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
Visualization of knowledge graphs and visual query interfaces
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

Regular (research) papers should not be longer than 8 pages, including references, while applications papers, short papers, vision papers, and late breaking results are limited to 4 pages. For the application track, we encourage submissions of concrete applications in all the topics of the conference, as mentioned above. Submissions to the application track should present applications, tools, or environments which have been deployed and used by their target audiences such as research projects and research communities, or the industry. Accepted application papers will be presented at the conference and should also take part in the demo session.

All papers should be submitted through Easychair (using https://easychair.org/conferences/?conf=kcap2017) and should be formatted according to the ACM format (2 column SIG Conference Proceedings template) available here for Latex and here for Word.

== Important dates ==

At 23:59 Hawaii Time (HAST) for all deadlines

Research and application full papers
– submission: 28 Jul 2017
– notification: 15 Sep 2017
– camera-ready: 29 Sep 2017

Short, vision, and late breaking results papers
– submission: 22 Sep 2017
– notifications: 16 Sep 2017
– camera-ready: 23 Sep 2017

Conference
– Workshops/Tutorials: 4 Dec 2017
– Main conference: 5-6 Dec 2017

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