Toward Semantic Reference Systems for Geographic Information
Two information systems or services can be said to be semantically
interoperable if they subscribe to standardized interfaces and have
a common understanding of terms. This goal is particularly important
for geographic information systems (GIS), because they typically use
data and processes from multiple sources. It is also particularly
difficult to achieve there, because these sources often represent
different views of the same geographic reality.
The talk first presents the idea of geospatial ontologies as Semantic
Reference Systems, in analogy to the well-understood Spatial Reference
Systems for maps or GIS. This analogy allows for elegant notions of
semantic projections and transformations. I then propose a typology
of semantic interoperability problems with examples. A method to design
ontologies and use them as Semantic Reference Systems supporting semantic
interoperability is introduced. It uses the functional programming
language Haskell to write algebraic specifications for conceptual
categories. The method can alsobe seen as a formalization for the
notion of blendings in cognitive science. The case study to be presented
uses the famous example of boathouses and houseboats from the blending
literature.
The San Diego Supercomputer
Center (SDSC) is a research unit of the University of California,
San Diego, and the leading-edge site of the National Partnership for
Advanced Computational Infrastructure. SDSC researchers conduct studies
in computational science, develop high-performance computing and networking
technologies, and participate in NPACI activities.