
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:description xml:lang="eng">Abstract: Daily increase in the number of documents on Serbian language in digital form has led to the need for their search. In order to reduce the time required for searching in document, it is necessary to prepare the documents and to group them. This paper presents a method that makes analysis of documents easier, using a small number of lexical resources. </dc:description>
  <dc:language>eng</dc:language>
  <dc:subject xml:lang="eng">Keywords: search engine, indexing, keywords, clustering, Serbian language</dc:subject>
  <dc:type>info:eu-repo/semantics/conferenceProceedings</dc:type>
  <dc:date>2013</dc:date>
  <dc:source>XLVIII International Scientific Conference on information, communication and energy systems and technologies 2</dc:source>
  <dc:creator id="https://orcid.org/0000-0001-7232-3755 https://plus.cobiss.net/cobiss/sr/sr/conor/86849033">Marovac, Ulfeta</dc:creator>
  <dc:creator id="https://orcid.org/0000-0001-7326-059X">Crnišanin, Adela</dc:creator>
  <dc:creator id="https://orcid.org/0000-0003-4312-3839">Pljasković, Aldina</dc:creator>
  <dc:creator id="https://orcid.org/0000-0002-3753-3535">Kajan, Ejub</dc:creator>
  <dc:title xml:lang="eng">Similarity Search in Text Data for Serbian Language</dc:title>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:30260</dc:identifier>
  <dc:format>application/pdf</dc:format>
  <dc:format>578085 bytes</dc:format>
  <dc:rights>All rights reserved</dc:rights>
</oai_dc:dc>