September 27, 2007
Why are people good at finding
their way through an airport?
Yet why is it so difficult to teach a robot cleaner to deal with a
wastepaper
basket that was not there yesterday? Why can people easily follow an
instruction: "Turn at the hotel," and have difficulties with: "Turn
after
134m"? To what extent is "Melbourne"
similar to "Carlton"?
And
why is a Swiss tourist calling a hill what Australians are calling a
mountain?
This is what spatial information theory is about. Spatial information
theory
deals with human or agent decision making in geographic space, with
communication about space (you may call it interoperability), and with
the
formal description of geographic space. It aims to provide the
foundations for applications
as diverse as the design and construction of Web 2.0, interoperable
services, next-generation
location-based services, transport management and information,
ubiquitous
spatial computing, virtual environments and robotics.
These questions and others were
discussed at COSIT'07, the Eighth
International Conference on Spatial Information Theory, which was held
19-23
September 2007 in Mount Eliza,
Victoria, Australia.
The COSIT conference series has been shaping and leading
interdisciplinary
research in theoretical GIScience for more than a decade, involving
disciplines
such as spatial information science, artificial intelligence, cognitive
science, neuroscience, cognitive psychology, cognitive anthropology,
linguistics and philosophy.
COSIT usually takes place in Europe or North America. This year
researchers from the
Asian-Pacific region
(forming about one-third of the participants) had a chance to
participate and share
their ideas. This mixture of "old" and "new" faces worked very
successfully for
COSIT'07. Held at Melbourne Business School, Mount Eliza , COSIT'07 had
more
participants
and a more competitive paper selection process than at any previous
COSIT. The
tranquil setting created a relaxed atmosphere for the intensive
discussions
between participants, discussions that went on even through the nights.
The first day held four international
workshops. The topics
covered included spatial cognition and architectural design, semantic
similarity in geographic applications, distributed and mobile spatial
computing,
and social networks in geographic space. The next three days were
structured
into formal knowledge representation, ontologies and similarity (day
1), perception
and cognitive mapping (day 2), and qualitative reasoning, navigation
and
spatial uncertainty (day 3). The last conference day is traditionally
reserved
for a doctoral colloquium at which talented doctoral students have the
opportunity to present their research ideas to their peers, as well as
to more senior
researchers, frequently for the first time.
So, where is spatial information theory
currently located, and
where is it heading? Here are the bigger issues at play:
- Ontology and semantics promise to provide foundations for integration and interoperability - pressing issues in practice, and increasingly in the future.
- Learning about our environments by developing models and studying cognitive representations that deal with incomplete knowledge and imprecise observations. Progress here is immediately relevant for robotics, autonomous vehicles and supporting human navigation.
- Communication of spatial information to people using cognitive and linguistic concepts, including understanding the differences between languages and cultures. The applications that will profit are not the expert tools, but all the ubiquitous services supporting everyday decisions.
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