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Large projects like Alexandria at the University of
Berkeley (http://alexandria.sdc.ucsb.edu), aimed at
creating an extensive digital library including maps,
photos, texts and multimedia documents, are still under
way. A fuzzy, as opposed to crisp, geographical selection
may perhaps better satisfy the needs for some
environmental applications.
However, the simple system described in this paper has
already shown definite advantages. It exploits
geographical relations that can be automatically
managed, to provide a structure to non-homogeneous
data sets, so that they can be conveniently searched and
retrieved. This greatly eases the exchanging of
information and allows its archives to grow wider and
wider to better satisfy the needs of various types of users.
Its disadvantages are due to the effort that the users still
have to make to manage the data they have found. Each
data set is in fact stored in its original format (plain text,
word processor, worksheet, and database, GIS) and thus
requires a specific program to be elaborated. However,
given the number of actors working in the field, this seems
almost unavoidable: the adoption of a common standard
would pose such a burden on the data suppliers to
practically prevent their contribution to the growth of the
data repository. The only feasible alternative to this
approach seems the creation of a unique organization
(even if formed by a federation of agencies) than has the
power of imposing a certain data description standard.
The web site is presently a part of a larger web project
(http://pc-ambiente.como.polimi.it) basically built for
teaching purposes. It includes a section with
downloadable map files of the Lombardy region, a direct
connection with some instruments showing in real-time
the main meteorological values in Como town, and a
modelbase containing description and reference for some
200 environmental models. Finally a number of case
studies are presented, developed within the framework of
the GAIA EU Project (http://www.ess.co.at/GAIA). They
illustrate how to deal with actual environmental problems
from problem statement, to data collection, model
implementation and policy consequences.
REFERENCES
ESRI, 1996. Building Applications with MapObject. ESRI.
Federal Geographic Data Committee, 1994. Content
Standards for Digital Geospatial Metadata. Washington
D.C. (http://www.mews.org/nsdi)
Foresman, T.W., Wiggins, H.V., Porter, D.L., 1996.
Metadata Mith: Misunderstanding the Implications of
Federal Metadata Standards. IEEE Transactions.
Huse, S., 1995. GRASSLinks: A New Model for Spatial
Information Access in Environmental Planning. Doctoral
Dissertation, Univ. of California at Berkeley.
Kazakos, W., Kramer, R., Nikolai, R., Rolker, C., 1998.
WebCDS - A Java-based Catalogue System for
European Environment Data. In: Proc. Inti. WS on Issues
and Applications of Database Technology (IADT'98), 482 -
490, Berlin, Germany.
Koschei, A., Kramer, R., Nikolai, R., Lukács, G.,
Heinemeier, T., 1997. Data and Metadata Management in
Distributed Environmental Information Systems. In:
Denzer R. et. al. (Eds.), Environmental Software Systems
2, International Federation for Information Processing
(IFIP), 144 - 151, Chapman and Hall, London.
Library of Congress, 1997. USMARC Home Page
(http://lcweb.loc.gov/marc/).
Miller, D., Bullock, K., 1994. Metadata for Land and
Geographic Information. An Australian Standard. Proc.
AURISA 94, 251-259, Sydney, Australia.
Phelps, T. A., Wilensky, R., 1996. Multivalent Documents:
Inducing Structure and Behaviors in Online Digital
Documents. Proc. of Hawaii Int. Conf. on System
Sciences '96.
Stonebraker, M., Chen, J., Nathan, N., Paxton, C., Wu, J.,
1993. Tioga: Providing Data Management Support for
Scientific Visualization Applications. Proc. 19 th Int. Conf.
Very Large Data Bases, 25-38, Morgan Kaufmann Publ.