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Document classification utilising ontologies and relations between documents

TitleDocument classification utilising ontologies and relations between documents
Publication TypeConference Paper
Year of Publication2010
AuthorsNyberg, K, Raiko, T, Tiinanen, T, Hyvönen, E
Conference NameEighth Workshop on Mining and Learning with Graphs
PublisherACM
ISBN Number978-1-4503-0214-2
Abstract

Two major types of relational information can be utilized in automatic document classification as background information: relations between terms, such as ontologies, and relations between documents, such as web links or citations in articles. We introduce a model where a traditional bag-of-words type classifier is gradually extended to utilize both of these information types. The experiments with data from the Finnish National Archive show that classification accuracy improves from 70% to 74% when the General Finnish Ontology YSO is used as background information, without using relations between documents.

URLhttp://www.www.yso.fi/publications/2010/nyberg-et-al-mlg-2010.pdf
DOI10.1145/1830252.1830264