4.1 Summary of Project
Results and Issues
Due to impenetrable
software bugs with the ESRI software, our final products are
incomplete. While on the surface, this makes our work look
like a failure, this couldn’t be farther from the truth. We
have gained an immense amount of knowledge about both the FGDC
and ISO metadata standards, as well, an in-depth understanding
of how ontologies influence data structures. In addition, on
the user’s side, we deal with the issue of semantics in search
engines, and interoperability of both metadata formats and
datasets. Lastly, but most importantly, the experience gained
dealing with XML is crucial in understanding how to use XML to
develop an “Ideal Solution.” There is a great deal of
potential with the use of XML in metadata environments, thus
the value of this knowledge cannot go unsung.
The knowledge gained
from the technical and technical problems has allowed us to
develop a theoretical “Ideal Solution” to our problem, which
is introduced in chapter 6. All of the problems with ESRI
Metadata Explorer has led us to the conclusion that a
proprietary version of a SDD for SFU should be written in a
programming language such as C or JAVA. This will allow a
much greater amount of customization on the developer’s part,
and the University’s as well. Systems such as Metadata
Explorer are referred to as “canned” software solutions, and
usually cost a lot of money, but don’t provide the flexibility
that most organizations require. If we had had access to a
Microsoft-based server to put our final product on, the SDD
would have been developed in VB.NET, and we likely could have
even attempted to build the “Ideal Solution” at this time,
instead of marking it as a phase 2 project.
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