Zobrazeno 1 - 7
of 7
pro vyhledávání: '"E. Patrick Shironoshita"'
Publikováno v:
Information Management and Big Data ISBN: 9783319905952
SIMBig (Revised Selected Papers)
SIMBig (Revised Selected Papers)
Efficient query answering over Description Logic (DL) ontologies with very large datasets is becoming increasingly vital. Recent years have seen the development of various approaches to ABox partitioning to enable parallel processing. Instance checki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fb7204b0f244119bea1574eeceb0d03
https://doi.org/10.1007/978-3-319-90596-9_1
https://doi.org/10.1007/978-3-319-90596-9_1
Publikováno v:
ACM SIGMOD Record. 36:13-18
An effective, accurate algorithm for cardinality estimation of queries on ontology models of data is presented. The algorithm relies on the decomposition of queries into query pattern paths, where each path produces a set of values for each variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fa94f05817d7284f94e280db333aa74
https://doi.org/10.1145/1328854.1328856
https://doi.org/10.1145/1328854.1328856
Autor:
Thomas J. Taylor, Mansur R. Kabuka, Michael T. Ryan, Yves R. Jean-Mary, E. Patrick Shironoshita, Ray M. Bradley
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540698272
DILS
DILS
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 enable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a181e979c8b019e29bb97cc2d30aacfa
https://doi.org/10.1007/978-3-540-69828-9_10
https://doi.org/10.1007/978-3-540-69828-9_10
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA. 15(4)
Objectives: To develop mechanisms to formulate queries over the semantic representation of cancer-related data services available through the cancer Biomedical Informatics Grid (caBIG). Design: The semCDI query formulation uses a view of caBIG semant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18b329df3e25efafe868164f1b2fea5e
https://pubmed.ncbi.nlm.nih.gov/18436897
https://pubmed.ncbi.nlm.nih.gov/18436897
Autor:
E. Patrick Shironoshita1 patrick@infotechsoft.com, Jean-Mary, Yves R.1 reggie@infotechsoft.com, Bradley, Ray M.1 rbrndley@infotechsoft.com, Kabuka, Mansur R.1,2 kabuka@infotechsoft.com
Publikováno v:
IEEE Transactions on Knowledge & Data Engineering. Mar2009, Vol. 21 Issue 3, p401-414. 14p. 4 Black and White Photographs, 6 Diagrams, 4 Graphs.
Conference
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Conference
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