Categorisation by Context

dc.creatorAttardi,Giuseppe
dc.creatorMarco,Sergio
dc.creatorSalvi,Davide
dc.date1998
dc.date.accessioned2024-02-06T12:49:41Z
dc.date.available2024-02-06T12:49:41Z
dc.descriptionAssistance 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.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-004-09-0719
dc.identifierhttps://lib.jucs.org/article/27512/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/7438
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 4(9): 719-736
dc.subjectinformation retrieval
dc.subjectWeb search
dc.subjecttext categorisation
dc.subjecthypertext navigation
dc.titleCategorisation by Context
dc.typeResearch Article
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