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Workshop on Computational Spatial
Language Interpretation (CoSLI)
http://www.cosli.org
In conjunction with Spatial Cognition 2010
Mt Hood / Portland Oregon, Aug 15 2010
Description:
Human-computer interaction through standard graphical, textual, or
tactile modes of communication can be inefficient or simply not
feasible for a range of situated applications such as in-vehicle
information systems, robotics, and virtual characters. Though the
voice interface is widely perceived as a more natural form of
communication for such applications, voice based interfaces for
situated HCI applications have been limited to date not only by speech
recognition weaknesses, but also by the application of ad-hoc models
of situated language understanding. For situated HCI systems to
understand and produce language about their environment and the
actions they performs on that environment, we require competent models
of spatial language use that map between natural language and the
system's internal models of its environment and the actions it can
perform on that environment.
Aims:
The aim of this workshop is to draw together the often orthogonal
views on formal symbolic and embodied spatial language interpretation
in order to foster theories which adequately draw on both geometric
and functional spatial language meaning. On one hand, formal symbolic
approaches have attempted to assign meaning to spatial terms through
well defined theories that provide a natural symbolic backbone to
connect spatial meaning with heterogeneous sources of knowledge and
reasoning. These symbolic models, however, often simplify and
generalize spatial term meanings and ignore their various situated
interpretations. On the other hand, embodied quantitative
interpretation models assign meaning to spatial terms through spatial
templates which relate the symbolic level to sub-symbolic knowledge
such as sensory-motor information and spatial representations more
suited to real situated systems. These quantitative models, however,
often define templates in a rigid way that allows only few
generalizations. By drawing together these formal symbolic and
embodied models of spatial meaning we wish to move the research
community towards models of spatial meaning which couple embodied
geometric and functional features in order to improve and support
situated natural language interpretation systems.
Submissions:
We invite papers that address topics including:
* Computational models of spatial language interpretation based on
formal symbolic and qualitative theories
* Computational models of spatial language interpretation based on
embodied or quantitative models
* Connectionist theories of spatial language meaning
* Dynamic systems models of spatial term meaning
* Empirically motivated models of spatial term meaning
* Implemented robotics and situated HCI systems which incorporate
models of spatial language interpretation
* Computational models of spatial language interpretation based on
spatial calculi or spatial ontologies
* Uncertain or vague theories and applications for spatial language
interpretation systems
We particularly welcome contributions that address the following:
* Computational models of spatial language that incorporate both
geometric and functional or pragmatic context either in terms of
implemented systems, computational models, empirical findings, or
position papers that make clear a novel approach to this problem
All papers should be submitted in English as PDF documents. We welcome
papers of length 6-8 pages formatted in accordance with the Springer
LNCS style (see http://www.springer.de/comp/lncs/authors.html).
Submissions can be made shortly via the EasyChair website. Submission
information is available from the workshop website at
:http://www.cosli.org
Important Dates:
Submission Deadline 1 May
Notification of Acceptance / Rejection 15 June
Updated Paper Due 15 July
Workshop 15 August
Organizers:
Robert Ross
Artificial Intelligence Group
Dublin Institute of Technology
Ireland
Joana Hois
SFB/TR8 Spatial Cognition
University of Bremen
Germany
John Kelleher
Artificial Intelligence Group
Dublin Institute of Technology
Ireland
Program Committee:
* John Bateman, University of Bremen, Germany
* Brandon Bennett, University of Leeds, UK
* Kenny Coventry, Northumbria University, UK
* Max J. Egenhofer, University of Maine, USA
* Carola Eschenbach, University of Hamburg, Germany
* Ben Kuipers, University of Michigan, USA
* Reinhard Moratz, University of Maine, USA
* Philippe Muller, Université Paul Sabatier, France
* Robert Porzel, University of Bremen, Germany
* Terry Reigier, UC Berkeley, USA
* David Schlangen, University of Potsdam, Germany
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