Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Automatic document categorisation by user profile in medline

Petrakis Evripidis, Chliaoutakis Angelos

Simple record

URIhttp://purl.tuc.gr/dl/dias/9B89D963-866F-47ED-A380-D69B9441F9CD-
Identifierhttp://www.intelligence.tuc.gr/~petrakis/publications/ISHIMR2011.pdf-
Languageen-
TitleAutomatic document categorisation by user profile in medlineen
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
CreatorChliaoutakis Angelosen
CreatorΧλιαουτακης Αγγελοςel
Content SummaryWe investigate potential improvements to the problem of term extraction related to document representation and indexing in large document collections such as Medline, the premier bibliographic database of the U.S. National Library of Medicine (NLM). Using term extraction methods such as AMTEX and MMTX, document representations are semantically compact and more efficient, being reduced to a limited number of meaningful multi-word terms (phrases), rather than large vectors of single-words, part of which may be void of distinctive content semantics. We show how this information can be used for the automatic categorisation of medical documents by user profile (i.e., novice users and experts). This is achieved by mapping document terms to external lexical resources such as WordNet, and MeSH (the medical thesaurus of NLM). Evaluation results of all methods are presented and discussed. en
Type of ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-01-
Date of Publication2011-
Bibliographic CitationAngelos Hliaoutakis, Euripides G.M.Petrakis. (2011, Sep.). Automatic Document Categorization by User Profile in Medline. Presented at 15th International Symposium on Health Information Management Research (ISHIMR'2011).[Online]. Available: http://www.intelligence.tuc.gr/~petrakis/publications/ISHIMR2011.pdfen

Services

Statistics

 

Copyright © DIAS 2013