Semantic Representation and Querying of caBIG Data Services

Autor:	Thomas J. Taylor, Mansur R. Kabuka, Michael T. Ryan, Yves R. Jean-Mary, E. Patrick Shironoshita, Ray M. Bradley
Rok vydání:	2008
Předmět:	Information retrieval Computer science Process (engineering) SPARQL computer.file_format Extension (predicate logic) Data as a service Ontology (information science) Grid Semantics computer Blank node
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540698272 DILS
DOI:	10.1007/978-3-540-69828-9_10
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a181e979c8b019e29bb97cc2d30aacfa https://doi.org/10.1007/978-3-540-69828-9_10 Zobrazit plný text záznamu