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DIAB-13-09-1 | | Publicación: |
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27-09-2013 | | Título: |
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Analyzing Linked Data tools for sharing Architectural Knowledge | | Detalle: |
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Architectural Knowledge (AK) has been an integral part of
Software Architecture specification since its original inception, but it has
been explicitly managed only recently. It can be described as a computational
structure of design decisions and rationales; recent research emphasizes that
availability must be complemented by an effective use of this information.
Therefore, when systems are complex and large, an effective searching method
becomes critical. We propose the use of Linked Data techniques to define and
query AK, thus achieving a flexible storage and scalable search. Our approach
suggests storing the network of decisions in RDF format to be retrieved
efficiently by means of SPARQL queries. This format is, by definition, general
and extensible. As a side effect, many different AK structures can be
described this way, which then becomes a general format to describe AK. In
that way, this work analyses some significant features regarding to AK of
several Linked Data tools in order to determine which ones are the best/worst
for handling AK as Linked Data. | |
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