Abstract
Digital libraries allow organizing, classifying and publishing collections of electronic contents that are available in computers or networks. Also, digital libraries are easy to use and configure and they offer a user interface with access to fast searching and browsing over a repository of documents using a graphical interface. This article presents a digital library prototype for retrieving, indexing and clustering documents published on a website. The website may include unstructured, semi-structured and structured documents such as: web pages, scientific papers, news and documents in several formats that contain essentially text. The proposed prototype includes a clustering process that uses a conceptual algorithm and an a priori process of cluster labeling. Preliminary results correspond to tests made with different sets of documents published in a real website.
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Mahecha-Nieto, I., León, E. (2010). Digital Web Library of a Website with Document Clustering. In: Kuri-Morales, A., Simari, G.R. (eds) Advances in Artificial Intelligence – IBERAMIA 2010. IBERAMIA 2010. Lecture Notes in Computer Science(), vol 6433. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16952-6_22
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DOI: https://doi.org/10.1007/978-3-642-16952-6_22
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