Call for Papers

The Ninth International Conference on Knowledge Capture, K-CAP 2017 featured a full papers track for research papers as well as a track for short papers, vision papers, and late breaking results. The main program was accompanied by workshops on a range of related topics. The special theme of the conference was on Knowledge Graphs from Heterogeneous Data. Therefore, we especially encouraged submissions of papers on 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, were also 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 have been longer than 8 pages, including references, while applications papers, short papers, vision papers, and late breaking results were limited to 4 pages. We also encouraged submissions of concrete applications in all the topics of the conference, presenting applications, tools, or environments which have been deployed and used by their target audiences such as research projects and research communities, or the industry.

All papers were submitted through Easychair (using https://easychair.org/conferences/?conf=kcap2017) and 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 4 Aug 2017
– notification: 15 Sep 2017 18 Sep 2017
– camera-ready: 29 Sep 2017 30 Sep 2017

Short, vision, and late breaking results papers
– submission: 22 Sep 2017 28 Sep 2017
– notifications: 16 Oct 2017 18 Oct 2017
– camera-ready: 23 Oct 2017 24 Oct 2017

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

Program Committee

Ben Adams, University of Canterbury, UK
Harit Alani, Knowledge Media Insitute, UK
Claudia d’Amato, University of Bari,Italy
Mathieu d’Aquin, Insight Research Centre, Ireland
Andrea Ballatore, University of London, UK
John Bateman, University of Bremen, Germany
Brandon Bennett, University of Leeds, UK
Tom Bittner, Buffalo University, USA
Eva Blomqvist, Linköping Univeristy, Sweden
Vinay Chaudhri, SRI International, USA
Simon Cox, CSIRO, Australia
Isabel Cruz, University of Illinois at Chicago, USA
Hyvönen Eero, Aalto University, Finland
Miriam Fernandez, Knowledge Media Insitute, UK
Paolo Fogliaroni, Vienna University of Technology, Austria
Mark Gahegan, Auckland University, New Zealand
Aldo Gangemi, University of Paris 13, France
Raúl García Castro, Politechnic Univerisity of Madrid, Spain
Navratil Gerhard, Vienna University of Technology, Austria
Chiara Ghidini, Fondazione Bruno Kessler, Italy
Karl Grossner, University of Stanford, USA
Michael Gruninger, University of Toronto, Canada
Asunción Gómez Pérez, Politechnic University of Madrid, Spain
Willem van Hage, Netherlands eScience Center, Netherlands
Torsten Hahmann, University of Maine, USA
Armin Haller, Australian National University, Australia
Karl Hammar, Jönköping University, Sweden
Siegfried Handschuh, Deri Institute, Ireland
Jeffrey Heflin, Lehigh University, USA
Pascal Hitzler, Wright State University, USA
John Hodges, University of Sydney, Australia
Yingjie Hu, The University of Tennessee, USA
Tomi Kauppinen, Aalto University, Finland
Adila Krisnadhi, Wright State University, USA
Werner Kuhn, University of Santa Barbara, USA
Oliver Kutz, University of Bolzano, Italy
Patrick Lambrix, Linköping Univeristy, Sweden
Agnieszka Lawrynowicz, Poznan University of Technology, Poland
Danh Le Phuoc, Berlin University of Technology
Maxime Lefrançois, MINES Saint-Etienne, France
Jens Lehmann, University of Leipzig, Germany
Till Mossakowski, University of Magdeburg, Germany
Mark Musen, Stanford University, USA
Tom Narock, Baltimore Maryland University, USA
Jeff Pan, University of Aberdeen, UK
Valentina Presutti, Centro Nazionale della Ricerca, Italy
Harald Sack, KIT Karlsruhe, Germany
Idafen Santana Pérez, Universidad Politecnica de Madrid, Spain
Simon Scheider, University of Utrecht, Netherlands
Stefan Schlobach, Vrije Universiteit Amsterdam, Netherdlands
Luciano Serafini, Fondazione Bruno Kessler, Italy
Ilaria Tiddi, The Open University, United Kingdom
Raphaël Troncy, EURECOM, France
Tania Tudorache, Stanford University, USA
Charles Vardeman, University of Notre Dame, USA
Ruben Verborgh, University of Ghent, Belgium