[Gzz-commits] manuscripts/FutureVision vision.rst

[Benja Fallenstein]

CVSROOT:        /cvsroot/gzz
Module name:    manuscripts
Branch:         
Changes by:     Benja Fallenstein <address@hidden>      03/09/18 13:06:52

Modified files:
        FutureVision   : vision.rst 

Log message:
        rdf visualizations fleshout

CVSWeb URLs:
http://savannah.gnu.org/cgi-bin/viewcvs/gzz/manuscripts/FutureVision/vision.rst.diff?tr1=1.118&tr2=1.119&r1=text&r2=text

Patches:
Index: manuscripts/FutureVision/vision.rst
diff -u manuscripts/FutureVision/vision.rst:1.118 
manuscripts/FutureVision/vision.rst:1.119
--- manuscripts/FutureVision/vision.rst:1.118   Thu Sep 18 12:57:09 2003
+++ manuscripts/FutureVision/vision.rst Thu Sep 18 13:06:52 2003
@@ -233,6 +233,7 @@
 
 XXX using hyperstructure for internal data
 XXX thus, explorability. Nelson: "Look under the world, find a turtle..."
+XXX focus+context
 
 We use the term hyperstructure to **denote** a **storage model**
 that allows different data structures to overlap, but to
@@ -289,16 +290,22 @@
 components are obtained by using different predicates (as dimensions)
 in different applitudes. XXX
 
-- generally layouted as 2D graph = simulation of a drawing
-  on paper
-- graphical editors such as IsaViz [ref] often provide tools
-  for automatic graph layout, and generally allow humans
-  to layout graphs manually
-- no f+c
-- therefore, it's always a problem that some related items
-  are on the other end of the graph
-- we describe our visualizations of rdf below (4.2.1)
+Visualizations of RDF are generally a two-dimensional
+layout of a whole graph, as if drawn on a sheet of paper.
+Graphical editors normally let the
+user position the individual nodes; additionally,
+many editors, such as IsaViz [XXXref] offer automatic
+graph-layout algorithms.
+
+In this kind of visualization, when looking at a particular node,
+it is often not easy to find the other nodes connected to it.
+In particular in large graphs, the node you are looking for
+may be in a completely different part of the image. Finding
+anything in such a visualization representing *all* the items
+a user stores in their computer seems bound to be a herculean task.
 
+We describe our focus+context visualizations of RDF
+in section 4.2.1 [XXXlink], below.