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Commit 00b0c4d4 authored by Andreas Schärtl's avatar Andreas Schärtl
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report: towards: remove system level concerns

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......@@ -7,53 +7,12 @@ ontology design in general. The contribution of this section is
primarily that of potential for future work. At this point in time,
the ideas formulated here lack concrete implementations.
\subsection{Automatic Processing}
Let us first look at some system level concerns. It is true that the
upper level ontology and tetrapodal search are most certainly in their
infancy. As such it is easy to dismiss concerns about scalability as
premature. Regardless, we encourage research on ULO and tetrapodal
search to keep the greater picture in mind. We believe that a greater
tetrapodal search system can only succeed if the process of export and
indexing is completely automated. Automation, we believe, come downs
to two things, (1)~automation of the export infrastructure and
(2)~enabling automation through machine readability.
\emph{Automation of Exports.} First of all, we believe that the
export of third party library into Endpoint storage needs to be fully
automated. We believe this is the for two major reason. First of all,
syntax errors and invalid predicates need to be avoided. It is
unreasonable to expect a systems administrator to fix each ULO~export
in its one particular way. At the very least, automated
validators~\cite{rval, rcmd} should be used to check the validity of
ULO~exports.
\emph{Enabling Automation Through Machine Readability.} The second
problem is one of normalization. The goal of RDF and related
technologies was to have universal machine readable knowledge
available for querying. As such it is necessary to make efforts such
that ULO exports we create are machine readable, that is it is easy
for programs to interpret the encoded knowledge. We want to remind the
reader of the previously discussed \texttt{ulo:sourceref} dilemma
(Section~\ref{sec:exp}). It required special domain knowledge about
the specific export for us to resolve a source reference to actual
source code. A machine readable approach would be to instead decide on
a fixed format for field such as \texttt{ulo:sourceref}. This makes it
easy for application implementors to take full advantage of any
ULO knowledge base.
Infrastructure that runs without the need of outside intervention and
a machine readable knowledge base can lay out the groundwork for a
greater tetrapodal search system.
\subsection{The Challenge of Universality}
While system level concerns must not be discarded, we believe they are
a small problem compared to the challenge of ontology design as a
whole. Remember that ULO aims to be a universal language for
formulating organizational mathematical knowledge. An outstandingly
grand task. ULO aims at nothing less than a universal schema on top
of all collected (organizational) mathematical knowledge.
ULO aims to be a universal language for capturing organizational
mathematical knowledge. An outstandingly grand task. ULO in
particular aims at nothing less than a universal schema on top of all
collected (organizational) mathematical knowledge.
The current version of ULO already yields worthwhile results when
formal libraries are exported to ULO~triplets. Especially when it
......@@ -76,12 +35,11 @@ to maintain organizational knowledge in a format that is both (1)~as
correct as possible and (2)~easy to generalize and search. Future
development of the upper level ontology first needs to be very clear
on where it wants to position itself on this spectrum between accuracy
and generalizability.
In its position as an upper level ontology, we believe that ULO is best
positioned as an ontology that favors generality at the cost of
accuracy. It can serve as a generalized way of indexing vast amounts
of formal knowledge, making it easy to discover and connect.
and generalizability. In its position as an upper level ontology, we
believe that ULO is best positioned as an ontology that favors
generality at the cost of accuracy. It can serve as a generalized way
of indexing vast amounts of formal knowledge, making it easy to
discover and connect.
\subsection{A Layered Knowledge Architecture}
......@@ -94,11 +52,11 @@ of formal knowledge, making it easy to discover and connect.
in an additional step.}\label{fig:love}
\end{center}\end{figure}
While it is true that ULO as one concrete ontology will need to
converge on a specific point on that spectrum, namely one of
generalizability in favor of accuracy, this does not mean that we need
to give up on accuracy as a whole. We believe that we can have
both. We can have our cake and eat it it too.
ULO as one concrete ontology will need to converge on one specific
point on the accuracy-generalizability spectrum, namely at the place
where generalizability is chosen in favor of accuracy. But this does
not mean that we need to give up on accuracy as a whole. We believe
that we can have both, we can have our cake and eat it it too.
Current exports investigated in this report take the approach of
taking some library of formal knowledge and then converting that
......
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