Merging synonymous entities from multiple structured sources into a dataset
Abstract:
Merging synonymous entities from multiple structured sources into a dataset includes receiving a first set of paired terms from a first authoritative source for a domain and a second set of paired terms from a second authoritative source for the domain. The first set of paired terms is compared to the second set of paired terms with a similarity assessment based on a clustering statistical algorithm to identify paired terms from the first set of paired terms that share a synonymous term with one or more paired terms from the second set of paired terms. The paired terms associated with the synonymous term are merged and a dataset is generated that associates a normalized version of the synonymous term with any terms included in the merged paired terms.
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