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Fwd: CFP: International Conference on Knowledge Capture 2013

From: Dan Brickley <danbri@danbri.org>
Date: Mon, 24 Sep 2012 15:04:49 +0200
Message-ID: <CAFfrAFpfkz0euAjtU31H=vNAJ0USGRrOWJRGLufb5FXcrgToDg@mail.gmail.com>
To: Semantic Web <semantic-web@w3.org>
Cc: Matthew Rowe <m.rowe@lancaster.ac.uk>
Passing this along for Matthew, as a way of avoiding my having to
figure out why his mail wasn't getting through to the list. Someday
there'll be a more semwebby way of advertising such things!

Dan

---------- Forwarded message ----------
From: Matthew Rowe <m.rowe@lancaster.ac.uk>
Date: 17 September 2012 12:07
Subject: [foaf-dev] CFP: International Conference on Knowledge Capture 2013
To: foaf-dev@lists.foaf-project.org


*********************************************************************************
Call for Research and Application Papers : Seventh International
Conference on Knowledge Capture (KCAP) 2013
23-26 June 2013. Banff, Canada

Web site:http://kcap2013.org/
Facebook:http://www.facebook.com/KCap2013
Twitter:http://twitter.com/kcap2013
*********************************************************************************


In today's technology-driven society, effective access to and use of
information is a key enabler for progress. Driven by the demands for
knowledge-based applications and the unprecedented availability of
information on the Web, the study of knowledge capture is of crucial
importance. Knowledge capture involves the extraction of useful
knowledge from vast and diverse online sources as well as its
acquisition directly from human experts.

Researchers and practitioners who work in the area of knowledge
capture traditionally participate in several distinct communities,
including knowledge engineering, machine learning, natural language
processing, human-computer interaction, artificial intelligence, and
the Semantic Web. K-CAP 2013 will provide a forum that brings together
members of disparate research communities who are interested in
efficiently capturing knowledge from a variety of sources and in
creating representations that can be useful for automated reasoning,
analysis, and other forms of machine processing, as well as to support
users in knowledge-intensive collaborative tasks.

In addition, the wealth of information available and generated on the
Web, both in structured, linked data forms and in unstructured
information sources, brings the need for new methods to make knowledge
emerge from such sources, following the recent democratisation, and
somehow industrialisation, of areas such as open data, linked data and
the Semantic Web. Such new methods must draw both from the traditional
knowledge acquisition techniques and from more computational
approaches, from large-scale data-mining, statistical analysis, data
analytics, etc. For this reason, we are making the special theme of
the K-CAP 2013 conference:


***Knowledge Capture in the Age of Massive Web Data****

This will be reflected both through encouraging paper submissions
showing works on the way to deal with the scale, but also the
distribution, heterogeneity, incompleteness, inconsistency and variety
of both sources and results when trying to make knowledge emerge from
massive Web data, including data published on the Web, as well as
generated through the Web.

We will also, for the first time in the K-CAP conference series,
introduce a special Application Track, where submissions are invited
to present results tested and deployed in real-life settings. The
application track will pay special attention to in-use applications
for the generation, management, and reuse of large amounts of existing
data and knowledge resources on the Web. Data and knowledge-intensive
applications in a variety of domains are welcome, including the Web of
Data, mobile and sensor networks, large-scale scientific data
management and reuse, open government and e-participation, social
networks, and enterprise data management and business intelligence. We
encourage submissions in such domains, dealing with topics including:
big data capture, representation and analytics, crowd-sourcing for
data generation and problem-solving, hybrid approaches combining
knowledge engineering and machine learning, data and service
dynamicity, heterogeneity and decay, and innovative user
 interfaces. Especially interesting are applications with available
datasets and in-place data-driven business models.

K-CAP 2013 follows on the success of six previous conferences in 2011
(Banff, Canada), 2009 (California, USA), 2007 (Whistler, Canada), in
2005 (Banff, Canada), in 2003 (Florida, USA), and 2001 (Victoria,
Canada), and of the series of Knowledge Acquisition Workshops (KAW),
the first of which took place in the same location (Banff, Canada) in
1986, with the aim to promote multi-disciplinary research that could
lead to a new generation of tools and methodologies for knowledge
capture.


***Submissions***

The Seventh International Conference on Knowledge Capture, K-CAP 2013
will feature Invited Talks, Research Papers, Application Papers,
Workshops, Posters and Demos on a range of topics. Due to the special
theme of the conference this year, we especially encourage submissions
of research and industry papers on the topics of:
-Statistical analysis from Web data
-Impact on data-mining of Web-scale linked data
-Machine learning from multiple Web sources
-Hybrid approaches for knowledge capture combining knowledge
engineering and machine learning
-Computational approaches to data management for knowledge capture
-Data dynamicity, heterogeneity, and decay in knowledge intensive systems
-Data provenance in knowledge capture

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
-Provenance and trust issues in knowledge intensive systems

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 and should also take part in the demo session.

Both regular papers and application papers should be submitted through
easychair (using https://www.easychair.org/conferences/?conf=kcap2013
for research papers and
https://www.easychair.org/conferences/?conf=kcap2013applications for
application papers) and be formatted according to the ACM format.
Regular (research) papers should not be longer than 8 pages, including
references. Applications papers are limited to 4 pages.


***Deadlines (for both the research and the application tracks) ***

Abstract submission: February 8, 2013
Full paper submission: February 15, 2013
Author notification: March 29, 2013
Camera ready version due: April 24, 2013
Received on Monday, 24 September 2012 13:05:17 GMT

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