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Querying multiple bioinformatics information sources
2002
SIGMOD record
Advances in Semantic Web and Ontologies have pushed the role of semantics to a new frontier: Semantic Composition of Web Services. A good example of such compositions is the querying of multiple bioinformatics data sources. Supporting effective querying over a large collection of bioinformatics data sources presents a number of unique challenges. First, queries over bioinformatics data sources are often complex associative queries over multiple Web documents. Most associations are defined by
doi:10.1145/637411.637421
fatcat:h6zbfiidtvh6viewdek2ubwr6e