| dc.description.abstract | Abstract. When people think spatially, they do not usually
consider geographic coordinates nor projections. Facing
questions having a spatial sense, people do not answer
with maps or coordinates, but use some references whose
spatial location is "well known". For instance, the answer of
a conventional geographic information system to the
question "Where is the CIC?" would be "in coordinates
19.50314°N, 99.14759°W". In contrast, a person would
answer "in Zacatenco" or "near to Eje Central". The
semantic processing attempts to enrich an abstraction level
similar to the one that people use commonly. This
processing, applied to spatial data, does not depend on
scales, resolutions, projections or others that are
fundamental in conventional systems. We assume that the
first step for making semantic processing is the semantic
description of "raw" spatial data. Such description is the
identification of the objects contained in data and the
location of such objects within a conceptual framework,
where they get a meaning. In this work, we present a
methodology for making this semantic description using as
a case study the digital elevation models. The
methodology is build up of three stages: conceptualization,
to define the conceptual framework of the description;
synthesis, to process "raw" spatial data and to obtain the
spatial objects contained in data; and description, to
generate the representation of results from the synthesis
according to the conceptual framework. | |
