Global Positioning System Reference
In-Depth Information
Concluding Remarks
Modeling in environmental and geosciences fi elds is a data-intensive science
that increasingly requires joint research and efforts toward a sharing and
better understanding of multi-disciplinary resources (data, metadata, results,
workfl ows, etc.) by the modeling community (e.g., decision makers, policy
makers, modelers, scientists) involved in IM activities. Ad-hoc IM solutions
may work for specifi c environmental issues but others do not benefi t from
these modeling results. On the other hand, a unique IM solution seems to
be unaffordable because of the great variety of environmental problems,
data formats, stakeholders, models, perspective and social aspects, and
needs involved in modeling activities.
In this context, the chapter fi rst reviewed a set of technologies that,
when properly combined, could become essential ingredients for leveraging
the next generation of IM frameworks and tools. In particular scientifi c
workfl ow systems, BWL, and geoprocessing web services have been put
on the table to analyze altogether how they can work collaboratively to
address a common goal. The integration of geoprocesing web services into
workfl ow systems opens a new range of possibilities to cope with IM since
the resulting geo-enabled workfl ows are characterized by the robustness
of well-proven workfl ow execution environments along with the ability of
geoprocessing web services to meet particular needs.
In the second part of the chapter, we set out the concept of Geo-enabled
Model Web as a novel approach to leverage IM on the Web. Models are
seen as services which can be composed, discovered and integrated as
web services do. We examined the role of current workfl ow systems and
geoprocessing web services in this settings, and identifi ed open issues and
challenges that certainly need further research in the immediate future
to truly realizing the Geo-enabled Model Web vision (Nativi et al. 2013),
i.e., models envisioned as a networks of reusable services deployed on an
ecosystem of inter-related research information infrastructures capable
to handling with multi-disciplinary and ever-increasing environmental
issues, along the lines of the next generation of Digital Earth applications
(Goodchild et al. 2012).
References
Abel, D.J., K. Taylor and D. Kuo. 1997. Integrating Modelling Systems for Environmental
Management Information Systems. SIGMOD Record. 26(1).
Alonso, G., F. Casati, H. Kuno and V. Machiraju. 2004. Web Serivces: Concepts, Architectures
and Applications. Springer.
Altintas, I., D. Crawl, C.J. Crosby and P. Cornillon. 2011. Scientific workflows for the
geosciences: An emerging approach to building integrated data analysis systems. pp.
237-250. In: G.R. Keller and C. Baru (eds.). Geoinformatics—Cyberinfrastructure for the
Solid Earth Sciences. Cambridge University Press.
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