Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Graph organizers are powerful tools for both structuring and
transmitting knowledge. Because of their unique characteristics,
these organizers are valuable for cultural institutions, which
own large amounts of information assets and need to constantly
make sense of them. On one hand, graph organizers are tools
for connecting numerous chunks of data. On the other hand,
because they are visual media, they offer a bird’s-eye view
perspective on complexity, which is digestible to the human
eye. They are effective tools for information synthesis, and are
capable of providing valuable insights on data. Information
synthesis is essential for Heritage Interpretation, since
institutions depend on constant generation of new content to
preserve relevance among their audiences. While Mind Maps
are simpler to be structured and comprehended, Knowledge
Maps offer challenges that require new methods to minimize
the difficulties encountered during their assembly. This paper
presents strategies based on manual and automatic tagging as an
answer to this problem. In addition, we describe the results of a
usability test and qualitative analysis performed to compare the
workflows employed to construct both Mind Maps and
Knowledge Maps. Furthermore, we also talk about how well
concepts can be communicated through the visual
representation of trees and networks. Depending on the
employed method, different results can be achieved, because of
their unique topological characteristics. Our findings suggest
that automatic tagging supports and accelerates the construction
of graphs.
