K-CAP 2019: 1st Call for General Contributions

Dear colleagues,


Please circulate in your group if you find the call below to be of interest. Apologies if you've already received this.


Calls for Contributions: K-CAP 2019



10th International Conference on Knowledge Capture (K-CAP 2019)
“Multi-modal Knowledge Capture in the Age of Big Web Data”
Marina del Rey, California, 19-22 November, 2019
http://www.k-cap.org/2019/index.html

The Tenth International Conference on Knowledge Capture is aimed at attracting researchers from diverse areas of Artificial Intelligence, including knowledge representation, knowledge acquisition, intelligent user interfaces, problem-solving and reasoning, planning, agents, text extraction, machine learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data.



About K-CAP



The First International Conference on Knowledge Capture was held in October 21-23, 2001 in Victoria, British Columbia. The conference attracted researchers from diverse areas of AI, including knowledge representation, knowledge acquisition, intelligent user interfaces, problem solving and reasoning, planning, agents, text extraction and machine learning. K-CAP was a follow-up of the series of Knowledge Acquisition Workshops (KAW) held from October 1986 every eighteen months until 1999. More information about K-CAP, including previous editions, can be obtained on the website of the K-CAP conference series<http://www.k-cap.org/>

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All deadlines noted in the calls below are midnight Hawaii time


Call for Research and Application Papers

To achieve the ambitious goals of scalable, robust knowledge capture, the Tenth International Conference on Knowledge Capture aims at attracting researchers from diverse areas of Artificial Intelligence, including knowledge representation, knowledge acquisition, Semantic and World Wide Web, intelligent user interfaces for knowledge acquisition and retrieval, innovative query processing and question answering over heterogeneous knowledge bases, novel evaluation paradigms, problem-solving and reasoning, planning, agents, information extraction from text, metadata, tables and other heterogeneous data such as images and videos, machine learning and representation learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data.



We specifically solicit papers on novel methodologies for evaluating cross-disciplinary multi-modal knowledge capture systems and applications. In most cases, knowledge is not captured as a means to an end but to, for instance, enable better user interfaces, improve retrieval beyond simple keyword search, and so forth. For K-CAP 2019, we focused on the creation, enrichment, querying, and maintenance of knowledge graphs (not necessarily limited to the Semantic Web technology stack) out of heterogeneous data sources.



Due to the special theme of the conference this year, we especially encourage submissions of research and industry papers on the topics of:

  *   Extracting knowledge graphs from multi-modal (video, images, text, HTML…) and multi-structured data, including semi-structured (JSON, XML…), structured (tables) and unstructured (natural language, webpages) data
  *   Robust querying of captured knowledge
  *   Hybrid approaches for knowledge capture combining knowledge engineering and machine learning
  *   Representation learning and embeddings, especially with a focus on interpretability and combination with logic-based semantics
  *   Synergistic representation learning across multi-modal knowledge elements
  *   Services and APIs for knowledge graphs
  *   Visualization of knowledge graphs and visual query interfaces
  *   Addressing scalability issues for distributed knowledge graphs
  *   Novel interfaces for efficiently eliciting supervision from users
  *   Domain-specific knowledge capture and applications
  *   Provenance, trust, and credibility as they relate to knowledge graphs
  *   Enrichment and cleaning of knowledge graphs and alignment to existing graphs
  *   Data dynamicity, heterogeneity, and decay in knowledge intensive systems

Submissions on more general topics, traditionally covered by the conference, are highly encouraged, including but not restricting to:

  *   Knowledge acquisition
  *   Knowledge authoring
  *   Knowledge extraction
  *   Knowledge management
  *   Knowledge capture for the Semantic Web and the Web of Linked Data
  *   Knowledge publication
  *   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 modelling methodologies
  *   Narrative intelligence
  *   Knowledge capture through storytelling
  *   Learning by reading
  *   Statistical analysis from Web data
  *   Impact on data-mining of Web-scale linked data
  *   Machine learning from multiple Web sources
  *   Computational approaches to data management for knowledge capture
  *   Provenance and trust issues in knowledge intensive systems, especially data provenance in knowledge capture

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 effectively deployed and used by their target audience. Accepted application papers will be presented at the conference.

== Program Chair ==
Contact: raphael.troncy@eurecom.fr<mailto:raphael.troncy@eurecom.fr>
Raphaël Troncy, Eurecom, France

Further info: http://www.k-cap.org/2019/call-for-papers/index.html


== Important Dates ==
Abstracts:     June 15, 2019
Full papers:     June 22, 2019

Author notification: July 22, 2019

Camera ready version due: August 10, 2019




Call for Workshops and Tutorials



The International Conference on Knowledge Capture (K-CAP) provides a forum that brings together members of diverse research communities who are interested in efficiently capturing knowledge from a vast range of sources, including human experts, and in creating representations that can be useful for building knowledge-intensive services in a variety of fields, such as the semantic web, knowledge management, e-business, natural language processing, intelligent information integration, and so on.

The focus of the 10th edition of K-CAP will be on “Multi-modal Knowledge Capture in the Age of Big Web Data”. Besides a research and an application track, K-CAP will host a number of workshops and tutorials on topics related to the theme of the conference.

K-CAP workshops provide an informal setting where the participants have the opportunity to discuss specific technical topics in an atmosphere that fosters the active exchange of ideas. Our aim for the workshop program is to promote and collect multidisciplinary research directions that contribute to knowledge capture from a variety of sources. In the same vein, K-CAP tutorials enable attendees to fully appreciate current issues, main schools of thought, and possible application areas.

We encourage the submission of workshops and tutorial proposals on all topics that fall in the general scope of K-CAP 2019, from traditional knowledge acquisition techniques to more modern approaches. In particular, we encourage the submission of workshop and tutorial proposals related to the special focus “Multi-modal Knowledge Capture in the Age of Big Web Data”. A non-comprehensive, but indicative list of potential topics was provided earlier in the Call for Research and Application Papers.



== Important Dates ==
Workshops and tutorials submissions due:     June 1, 2019

Notification: July 1, 2019



Further info: http://www.k-cap.org/2019/call-for-workshops/index.html



==General Chairs==



Mayank Kejriwal, University of Southern California, Kejriwal@isi.edu<mailto:Kejriwal@isi.edu>

Pedro Szekely, University of Southern California, pszekely@isi.edu<mailto:pszekely@isi.edu>



See you all in Marina del Rey/Los Angeles!

The K-CAP 2019 Organising Team http://www.k-cap.org/2019/organising-committee/index.html )

Received on Wednesday, 17 April 2019 04:13:58 UTC