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Collections of topically related documents held by digital libraries are valuable resources for users; however, as collections grow, it becomes more difficult to search them for specific information. Structure needs to be introduced to facilitate searching. Assigning index terms is helpful, but it is a tedious task even for professional indexers, requiring knowledge about the collection in general, and the document in particular. Automatic index term assignment (ITA) is considered to be a great improvement. In this paper we present a hybrid approach to index term assignment, using a combination of keyphrase extraction and multi-label classification. Keyphrase extraction efficiently assigns infrequently used

Bringing Order to Digital Libraries: From Keyphrase Extraction to Index Term Assignment