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DILS
2004
Springer

Links and Paths through Life Sciences Data Sources

11 years 5 months ago
Links and Paths through Life Sciences Data Sources
An abundance of biological data sources contain data on classes of scientific entities, such as genes and sequences. Logical relationships between scientific objects are implemented as URLs and foreign IDs. Query processing typically involves traversing links and paths (concatenation of links) through these sources. We model the data objects in these sources and the links between objects as an object graph. Analogous to database cost models, we use samples and statistics from the object graph to develop a framework to estimate the result size for a query on the object graph. 1 Querying Interlinked Sources An abundance of biological data sources contain data about scientific entities, such as genes and sequences. Logical relationships between scientific objects are implemented as links between data sources. Scientists are interested in exploring OMIM (Gene) PubMed (Citation) (Protein) Protein (Sequence) Nucleotide
Zoé Lacroix, Hyma Murthy, Felix Naumann, Lo
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where DILS
Authors Zoé Lacroix, Hyma Murthy, Felix Naumann, Louiqa Raschid
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