Semantic Annotation And Search Of Cultural-Heritage Collections: The MultimediaN E-Culture Demonstrator. Schreiber, G., Amin, A. K., Aroyo, L., van Assem, M., de Boer, V., Hardman, L., Hildebrand, M., van Ossenbruggen, J. R., Omelayenko, B., Tordai, A., Wielemaker, J., & Wielinga, B. Journal of Web Semantics, 6(4):243 - 249, ScienceDirect, November, 2008. Paper abstract bibtex 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 20 M 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.
@article{13260,
author = {Schreiber, G. and Amin, A. K. and Aroyo, L. and van Assem, M. and de Boer, V. and Hardman, L. and Hildebrand, M. and van Ossenbruggen, J. R. and Omelayenko, B. and Tordai, A. and Wielemaker, J. and Wielinga, B.},
title = {Semantic {Annotation} {And} {Search} {Of} {Cultural-{Heritage}} {Collections}: {The} {M{ultimediaN}} {E-{Culture}} {Demonstrator}},
journal = {Journal of Web Semantics},
pages = {243 - 249},
year = {2008},
month = {November},
number = {4},
volume = {6},
publisher = {ScienceDirect},
issn = {1570-8268},
refereed = {y},
size = {7p.},
keywords = {Semantic search, Digital heritage, Semantic annotation, Virtual collections},
group = {INS2},
language = {en},
project = {Non-NWO Project 1},
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 20 M 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.},
url = {http://oai.cwi.nl/oai/asset/13260/13260A.pdf},
url = {http://dx.doi.org/10.1016/j.websem.2008.08.001},
}
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