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K-CAP 2017 : The Ninth International Conference on Knowledge CaptureConference Series : International Conference on Knowledge Capture | |||||||||||||||
Link: http://k-cap2017.org/ | |||||||||||||||
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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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