Conference Information
K-CAP 2017: Knowledge Capture
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Conference Date:
Austin, Texas, USA
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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 and should be formatted according to the ACM format (2 column SIG Conference Proceedings template) available here for Latex and here for Word.
Last updated by Dou Sun in 2017-09-30
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