Title
Finding Data Resources in a Virtual Observatory Using SKOS Vocabularies
Abstract
One problem faced by astronomers using the virtual observatory is finding which of the multitude of data resources is relevant for them. The current tool, VOExplorer, relies on matching searches against tags provided by the resources. This paper shows how skosencoded vocabularies can be used to improve the search results. The techniques are general and applicable to any loose collaborations sharing their resources.
Year
DOI
Venue
2008
10.1007/978-3-540-70504-8_19
BNCOD
Field
DocType
Volume
Data mining,Semantic relationship,World Wide Web,Multitude,Computer science,Data resources,Simple Knowledge Organization System,Virtual observatory
Conference
5071
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Alasdair J. G. Gray141735.91
Norman Gray2214.85
Iadh Ounis33438234.59