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dc.creatorNikolić, Vojkan
dc.creatorMarkoski, Branko
dc.creatorKuk, Kristijan
dc.creatorRanđelović, Dragan
dc.creatorČisar, Petar
dc.date.accessioned2019-03-21T16:09:21Z
dc.date.available2019-03-21T16:09:21Z
dc.date.issued2017
dc.identifier.issn1785-8860
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/750
dc.description.abstractToday, e-Governments services operate quick answer systems in many different domains in order to help citizens receive answers to their questions at any time and within a very short time. The automatic mapping of relevant documents stands out as an important application for automatic questions-documents classification strategies. This paper presents a contribution to the identification concepts in text comprehension in unstructured documents as an important step towards clarifying the role of explicit concepts in information retrieval in general. The most common representational scheme in text categorization is the Bag of Words approach when the dictionary, as incorporating background knowledge, is large. The authors introduce a new approach to create conceptbased text representations, and apply it to a text categorization collection to create predefined classes in the case of short text document analysis problem. Further in this paper, a classification-based algorithm for questions matching topic modelling is presented. The paper also describes the weighting of concepts that present terms with high frequency of occurrence in questions is based on their similarity relevance in the predefined classes of documents. The results of the experiment within the criminal law domain in the present case study show that the performance of concept-based text representations has proven to be satisfactory in the case when there is no dictionary for this domain.en
dc.publisherBudapest Tech, Budapest
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47016/RS//
dc.rightsrestrictedAccess
dc.sourceActa polytechnica hungarica
dc.subjecte-Government servicesen
dc.subjectcriminal law domainen
dc.subjectnatural language processing (NLP)en
dc.subjectBag of Concept (BOC) approachen
dc.titleModelling the System of Receiving Quick Answers for e-Government Services: Study for the Crime Domain in the Republic of Serbiaen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractНиколић, Војкан; Чисар, Петар; Ранђеловић, Драган; Кук, Кристијан; Маркоски, Бранко;
dc.citation.volume14
dc.citation.issue8
dc.citation.spage143
dc.citation.epage163
dc.citation.other14(8): 143-163
dc.citation.rankM23
dc.identifier.doi10.12700/APH.14.8.2017.8.8
dc.identifier.scopus2-s2.0-85045104099
dc.identifier.wos000423415200008
dc.type.versionpublishedVersion


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Приказ основних података о документу