exploiting types for improved schema mapping
Schema mapping in life sciences is complicated by several factors - heterogeneity and non-standard naming of scientific objects. Traditional mapping techniques fail completely in many instances. This article suggests that exploiting type information and heuristic layout mining help map schemas in life science applications. In some cases, this method appears to be only approach that makes mapping possible in this area.
schema mapping layout mining heuristic knowledge type rules