Paper Info
Title
Semantic Representation and Querying of caBIG Data Services
Abstract
A computational grid infrastructure for biomedical research, called caGrid, is under development by the National Cancer Institute (NCI) as part of the cancer Biomedical Informatics Grid (caBIG) Initiative. In this paper we present a model that enables users to query an integrated view of caBIG data services at a conceptual semantic level. The model is based on semCDI, a formulation to generate an ontology view of caBIG semantics and pose queries against this view using the SPARQL query language complemented with Horn rules. We present here a mechanism to process these queries algebraically using our semQA query algebra extension for SPARQL, in order to create sub-expressions for each data service. We then show how resulting graphs from these sub-expressions are then merged using Horn rules.
Year
DOI
Venue
2008
10.1007/978-3-540-69828-9_10
DILS
Keywords
Field
DocType
integrated view,data service,ontology view,cabig semantics,semantic representation,semqa query algebra extension,sparql query language,cabig data services,national cancer institute,biomedical research,horn rule,cabig data service,biomedical informatics,query language
Ontology,Blank node,Graph,Data mining,Information retrieval,Computer science,SPARQL,Semantic representation,Data as a service,Semantics,Grid,Database
Conference
Volume
ISSN
Citations 
5109
0302-9743
2
PageRank 
References 
Authors
0.40
6
6
Name
Order
Citations
PageRank
E. Patrick Shironoshita11226.15
Ray M. Bradley261.60
Yves R. Jean-Mary31245.47
Thomas J. Taylor420.40
Michael T. Ryan571.29
Mansur R. Kabuka625016.95