Enhancing document modeling by means of open topic models: Crossing the frontier of classification schemes in digital libraries by example of the DDC
Purpose The purpose of this paper is to present a topic classification model using the Dewey Decimal Classification (DDC) as the target scheme. This is to be done by exploring metadata as provided by the Open Archives Initiative (OAI) to derive document snippets as minimal document representations. The reason is to reduce the effort of document processing in digital libraries. Further, the paper seeks to perform feature selection and extension by means of social ontologies and related web based lexical resources. This is done to provide reliable topic related classifications while circumventing the problem of data sparseness. Finally, the paper aims to evaluate the model by means of two language specific corpora. The paper bridges digital libraries, on the one hand, and computational linguistics, on the other. The aim is to make accessible computational linguistic methods to provide thematic classifications in digital libraries based on closed topic models such as the DDC.Design/methodology/approach T.
Libr. Hi Tech