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

• Type: Conference
• Year: 2004
• Where: DILS
• Authors: Zoé Lacroix, Hyma Murthy, Felix Naumann, Louiqa Raschid
• Keywords: Biological Data Sources, DILS 2004, Object Graph, Sources Contain Data