Bringing taxonomic structure to large digital libraries. (25th January 2008)

• Record Type: Journal Article
• Authors: Sanchez, David; Moreno, Antonio
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 2:Number 2(2007)
• Page Start: 112
• Page End: 122
• Publication Date: 2008-01-25
• Subjects: taxonomy learning -- digital libraries -- web mining -- web search engines -- resource indexing -- knowledge acquisition -- ontologies -- semantic web -- electronic repositories -- directory services; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

Abstract

Digital libraries are invaluable repositories of information. However, in many situations, their size makes it difficult to access the desired resource. In this paper, we present an automatic, unsupervised, domain-independent and scalable approach for structuring the resources available in a certain electronic repository for a particular domain. The system automatically detects and extracts the main topics related to the desired domain, offering a taxonomical structure. This result is complemented by the library's search engine, offering an integrated tool for accessing resources as an automatically composed directory service. The system has been tested for several digital libraries and domains of knowledge, providing good quality results in all cases.