Abstract
In this article we describe a Semantic Web application for semantic
annotation and search in large virtual collections of cultural-heritage
objects, indexed with multiple vocabularies. During the annotation
phase we harvest, enrich and align collection metadata and
vocabularies. The semantic-search facilities support keyword-based
queries of the graph (currently 20M triples), resulting in semantically
grouped result clusters, all representing potential semantic matches of
the original query. We show two sample search scenario's. The
annotation and search software is open source and is already being used
by third parties. All software is based on established Web standards,
in particular HTML/XML, CSS, RDF/OWL, SPARQL and JavaScript. (C) 2008
Elsevier B. V. All rights reserved.
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