Generalized Semantics-to-Document Derivation

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Generalized Semantics-to-Document Derivation

• Lloyd Rutledge, Martin Alberink, Lynda Hardman
  and Mettina Veenstra

We present several related generalized
domain-independent clustering-based algorithms
for deriving presentation structure from semantic
structure. This provides a document interface to
knowledge and media stored on the Semantic Web
http//homepages.cwi.nl/media/conferences/HT2005p
oster/
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Basis for Clustering

• Property
• Concept Lattice
• Previous work Topia
• Link
• Hub in graph
• Superset or property-based

• Numeric (Axis)
• K-means algorithm
• As with stars
• Proximity
• Proximity table
• Best-of search for corresponding hierarchy

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With Uniformity
A Generated Presentation
Axial Clustering
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