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CFP: Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn 2011)

From: Tudor Groza <tudor.groza@gmail.com>
Date: Wed, 6 Jul 2011 09:36:31 +1000
Message-ID: <CACqucCzcj=wdm-K+EiVX0QkuuE9SevKr8TpKF6mWE3n=FjKajw@mail.gmail.com>
To: public-semweb-lifesci@w3.org
[Apologies for cross-posting]

========================================================================

CALL FOR PAPERS
Joint Workshop on Knowledge Evolution and Ontology Dynamics (EvoDyn 2011)
Collocated with the 10th International Semantic Web Conference (ISWC2011)
October 23rd or 24th, 2011
Bonn, Germany

http://www.ontologydynamics.org/od/index.php/evodyn2011

DESCRIPTION
===========
EvoDyn builds on the success of the previous editions of the Ontology
Dynamics workshop formerly known as IWOD (organised as a part of the
ESWC'07, ISWC'08, ISWC'09 and ISWC'10 conferences). EvoDyn continues
in the tradition of IWOD in being the core annual event to discuss
advances in the broad area of ontology dynamics, and to track recent
work directly or indirectly related to the problem of evolving
ontologies. This year, however, the scope of the workshop is broadened
by a special focus on the knowledge evolution. As ontologies are
formal representations of knowledge, the study of their dynamics is an
inherent part of investigating the knowledge evolution phenomena, yet
it is only one of many relevant aspects this workshop aims to cover in
an integral manner.

In particular, the workshop focuses on analysis of trends and change
in formal descriptions (i.e., ontologies), but also in associated raw
sources of knowledge (scientific publications, unstructured or
semi-structured web content, traditional data stores, e-mail or
on-line discussion threads, etc.). We are especially interested in
research targeted on various states of knowledge evolution, such as
(a) conflicts, (b) consolidation, (c) discovery, (d) paradigm shifts,
and (e) breakthroughs. One crucial objective of better understanding
these different states may be to study directly the underlying causes
and dynamics needed to generate discoveries and breakthroughs. We will
only be able to facilitate and possibly also generate such desirable
situations if we can understand the process of how knowledge evolves.
The process of how knowledge in a field grows and changes,
crystallizes, and fractures are all areas of interest of this
workshop. The same holds for related novel applied technologies, such
as:
 * Tools for tracking the progress of knowledge from latent ideas,
through hypotheses to well-supported facts and/or claims;
 * Methods for identifying what are the crucial fulcrum-points where a
particular field may blossom or fail;
 * Methodologies and supporting tools for identification and
reinforcement of emerging promising trends in various academic and/or
industrial domains;
 * Platforms facilitating interconnection and cross-fertilization of
related endeavors in isolated disciplines.

GOALS
=====
We would like to trigger a comprehensive and coherent approach to
studying (and ultimately facilitating) the process of knowledge
evolution by bringing together researchers and practitioners from the
following fields:
 * Data mining and knowledge discovery in dynamic resources.
 * Ontology dynamics and versioning.
 * Trend analysis (in multiple applications, including internet
search, corpus evaluation, etc.).
 * Natural Language Processing (evolution of terminology, language
use, semantics).
 * Knowledge Representation (temporal ontologies, temporal logics,
belief revision, etc.)
 * Discourse Analysis and Philosophy of Science (the definition and
understanding of what particular phases of the knowledge evolution
are, and how can we delimit, identify or even trigger them)
 * Relevant application domains (such as Biomedical informatics,
Neuroinformatics, and Biomedicine in general, but also domains like
Internet Search, Business Analytics, Legal Studies or Digital
Humanities)

We think that only after cross-fertilization of these different
perspectives we can achieve a truly representative and coordinated
research agenda covering all different facets of the knowledge
evolution within specific, well-defined concrete examples from a wide
variety of fields. The ultimate importance of such an effort lies, of
course, in better understanding of what knowledge evolution actually
is and how we can make the whole process more efficient in various
application areas. Given both the potential impact of scientific
discovery and the difficulties inherent in understanding how to create
it, we feel that focusing on the topic of knowledge evolution is much
desired and could conceivably encourage identification and tackling of
grand challenges in the area of scientific discovery.

Ideally, we would like to see the practitioners and researchers
actively network and collaborate in order to define and understand the
most relevant and important lines of research pertinent to the
underlying goal of understanding and enabling the processes of
discovery, paradigm shift and breakthrough. This is going to be
achieved by active engagement of the workshop organisers, authors and
participants beyond mere paper presentation and discussion sessions.
Before the workshop itself, we will identify a set of general grand
challenges, partly based on the submissions received. These will serve
as a guideline for an interactive discussion session that will be a
part of the workshop agenda. The interactive session is supposed to
wrap up the workshop with a concrete list of research questions and
use cases most pertinent to knowledge evolution and ontology dynamics,
accompanied with a tentative plan of related collaborative research
and application development efforts.

TOPICS
======
The topics of interest include, but are not limited to the following
categories and their sub-domains.

Foundations of Knowledge Evolution:
  * Philosophical and epistemological aspects of evolving knowledge
  * Evolving knowledge as a complex system
  * Models and ontologies for knowledge evolution
  * Models and ontologies for change management
  * Requirements for knowledge and ontology evolution
  * Case studies in knowledge and ontology evolution
Temporal Aspects of Knowledge Capture:
  * Dynamic ontology learning
  * Ontology-based data mining
  * Ontology evolution and versioning
  * Hypothesis and claim extraction
  * Information retrieval and extraction for detecting paradigm shifts
Representation of and Reasoning with Evolving Knowledge:
  * Time representation
  * Formal aspects of ontology dynamics
  * Belief revision for ontologies
  * Ontology language extensions
  * Semantic evolution and discovery
  * Temporal reasoning
  * Provenance
  * Reasoning for trend analysis
  * Reasoning for knowledge shift detection
Knowledge Integration and Analysis Over Time:
  * Time-aware ontology alignment
  * Time-aware data integration
  * Change propagation in dynamic ontologies
  * Similarity metrics for evolving knowledge
  * Detecting, managing and reconciling conflicting knowledge
Visualization and Presentation of Evolving Knowledge:
  * Querying for evolving knowledge
  * Browsing evolving knowledge
  * Visualising trends, changes and paradigm shifts
  * Visual summarization of knowledge sub-domains
  * User interfaces for evolving knowledge presentation
Possible Application Domains:
  * Genetics / Molecular Biology
  * Clinical Science
  * Biomedical informatics
  * Neuroscience / Neuroinformatics
  * Business analytics
  * Legal studies
  * Discourse analysis
  * Digital humanities
We especially encourage submissions that integrally cover multiple
above-mentioned topics.

SUBMISSIONS
===========
We accept two types of submissions:
* Full papers - up to 16 pages
* Position papers - up to 8 pages

All submissions should be submitted in PDF format, via EasyChair at:
* http://www.easychair.org/conferences/?conf=evodyn2011

Submissions should be formatted according to the LNCS Springer format
(http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). The
workshop proceedings will both be uploaded to CEUR (http://ceur-ws.org/)
and placed on electronic media for distribution at the conference.

DATES
=====
August 15, 2011:    Submission of papers
September 12, 2011: Notification of acceptance/rejection
September 26, 2011: Camera ready paper submissions

COMMITTEES
==========
Organising Committee

 * Vit Novacek, DERI (Digital Enterprise Research Institute), National
University of Ireland Galway
 * Zhisheng Huang, Division of Mathematics and Computer Science, Vrije
Universiteit of Amsterdam
 * Tudor Groza, School of ITEE, The University of Queensland

Steering Committee

 * Grigoris Antoniou, Institute of Computer Science, FORTH
 * Mathieu d'Aquin, Knowledge Media Institute, The Open University
 * Gully Burns, Information Sciences Institute, University of Southern
California
 * Giorgos Flouris, Institute of Computer Science, FORTH
 * Carole Goble, Information Management Group, Manchester University
 * Jeff Z. Pan, Department of Computing Science, University of Aberdeen
 * Dimitris Plexousakis, Institute of Computer Science, FORTH

Program Committee

 * Grigoris Antoniou, FORTH, Greece
 * Alessandro Artale, Free University of Bozen-Bolzano, Italy
 * Mathieu d'Aquin, The Open University, UK
 * Paul Buitelaar, DERI Galway, Ireland
 * Vinay Chaudhri, SRI International, US
 * Tim Clark, MGH, Harvard University, US
 * Giorgos Flouris, Institute of Computer Science, FORTH
 * Pascal Hitzler, Wright State University, US
 * Ed Hovy, ISI, University of Southern California, US
 * Armin Haller, CSIRO ICT Canberra, Australia
 * Zhisheng Huang, Vrije Univesiteit Amsterdam, Netherlands
 * Michael Lawley, CSIRO, Australia
 * Thomas Meyer, Meraka Institute, South Africa
 * Enrico Motta, Open University, UK
 * Jeff Z. Pan, University of Aberdeen, UK
 * Dimitris Plexousakis, FORTH, Greece
 * Livia Predoiu, University of Magdeburg, Germany
 * Cartic Ramakrishnan, ISI, University of Southern California, US
 * Dietrich Rebholz-Schuhmann, EBI, UK
 * Andrey Rzhetsky, University of Chicago, US
 * Agnes Sandor, Xerox Research Centre Europe, France
 * Kavitha Srinivas, IBM, US
 * Kewen Wang, Griffith University, Australia
 * Renata Wassermann, Universidade de Sao Paulo, Brasil
Received on Friday, 8 July 2011 13:40:24 GMT

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