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

== 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 http://ift.tt/2tIMTtT) 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


– Workshops/Tutorials: 4 Dec 2017

– Main conference: 5-6 Dec 2017

from CFPs on Artificial Intelligence : WikiCFP http://ift.tt/2tIKiQW


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