Automatic Subject Indexing Using an Associative Neural Network

The global growth in popularity of the World Wide Web has been enabled in part by the availability of browser based search tools which in turn have led to an increased demand for indexing techniques and technologies. As the amount of globally accessible information in community repositories grows, it is no longer cost-effective for such repositories to be indexed by professional indexers who have been trained to be consistent in subject assignment from controlled vocabulary lists. The era of amateur indexers is thus upon us, and the information infrastructure needs to provide support for such indexing if search of the Net is to produce useful results. In this paper, we propose the Concept Assigner, an automatic subject indexing system based on a variant of the Hopfield network [13]. In the application discussed herein, a collection of documents is used to automatically create a subset of a thesaurus termed a Concept Space [4]. To automatically index an individual document, concepts ex...

• Type: Conference
• Year: 1998
• Where: DL
• Authors: Yi-Ming Chung, William M. Pottenger, Bruce R. Schatz
• Keywords: Automatic Subject Indexing, Digital Library, DL 1998, Hopfield Network, Semantic Indexing