Categorisation by Context
Giuseppe Attardi (Dipartimento di Informatica, Università di Pisa, Italy)
Sergio Di Marco (Dipartimento di Informatica, Università di Pisa, Italy)
Davide Salvi (Dipartimento di Informatica, Università di Pisa, Italy)
Abstract: Assistance in retrieving of documents on the World Wide Web is provided either by search engines, through keyword based queries, or by catalogues, which organise documents into hierarchical collections. Maintaining catalogues manually is becoming increasingly difficult due to the sheer amount of material on the Web, and therefore it will be soon necessary to resort to techniques for automatic classification of documents. Classification is traditionally performed by extracting information for indexing a document from the document itself. The paper describes the technique of categorisation by context, which exploits the context perceivable from the structure of HTML documents to extract useful information for classifying the documents they refer to. We present the results of experiments with a preliminary implementation of the technique.
Keywords: Web search, hypertext navigation, information retrieval, text categorisation
Categories: H.3.1, H.3.3, H.3.5, H.5.1, H.5.3, I.2.7