LCSHtoLCC uses a model to encapsulate the relationships between LCSH and LCC. This model is learned from a training dataset that consists of documents with both LCSH and LCC metadata assigned. Our principal dataset is based on 800,000 examples drawn from UCR's library catalog (SCOTTY).The model itself is based on the LCC's hierarchical structure. A Support Vector Machine is built for each node in the LCC hierarchy; each can classify an example as relevant to that node or to one of its children. To classify a new example, it's LCSH are "filtered down" from the root node of the tree to more specific classifications.
Friday, April 18, 2003
LCSHtoLCC looks like an interesting tool. Never used it, I can't comment on how it works. Free download.
at 1:25 PM