<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/9C91E8D2-BAA4-4DC7-B697-1422DDA659B0"><efrbr-work:titleOfTheWork>Automatic term identification by user profile for document categorization in medline</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/9C91E8D2-BAA4-4DC7-B697-1422DDA659B0"><efrbr-expression:titleOfTheExpression>Automatic term identification by user profile for document categorization in medline</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Περίληψη Δημοσίευσης σε Συνέδριο
            Conference Paper Abstract
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-11-01</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2011</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>We show how term extraction methods such as AMTEX and MMTX can be used for the automatic categorisation of medical documents by user profile (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).</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">230-233</efrbr-expression:note><efrbr-expression:note type="conference name">5th Intern. Conference  Applications of Natural Language to Information Systems</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~epetrakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Petrakis Evripidis
            Πετρακης Ευριπιδης
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://users.isc.tuc.gr/~achliaoutakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Chliaoutakis Angelos
            Χλιαουτακης Αγγελος
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-corporateBody:corporateBody identifier="http://www.springerlink.com/?MUD=MP"><efrbr-corporateBody:nameOfTheCorporateBody vocabulary="S/R:PUBLISHERS">
            Springer Verlag
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