Prikaz osnovnih podataka o dokumentu

dc.creatorPajić, Dejan
dc.creatorMikić, Aleksandar
dc.date.accessioned2022-08-11T11:04:37Z
dc.date.available2022-08-11T11:04:37Z
dc.date.issued2013
dc.identifier.isbn978-86-80417-44-8
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/3014
dc.description.abstractIn the era of ubiquitous computing and academic hyperproduction, researchers are often encountered with the problem of information overload. Scientific information retrieval systems such as Google Scholar or commercial bibliographic databases, usually display search results as textual lists. This form of representation is suitable for typical browsing tasks, but not for thorough search and exploration. Textual search interfaces usually do not provide users with the appropriate feedback on some relevant aspects of scientific communication, such as the relevance of used terminology, authors' field of expertise, or patterns of collaboration among institutions. This paper presents the basic features of the SCIndeks Visual Search, an alternative information retrieval system which implements different visualization techniques for presenting search results, with a specific emphasis upon publications, scientists and institutions related to legume research. Multidimensional scaling and conceptual maps model were used to visualize the relationships among descriptors and authors of scientific papers dealing with legumes referred in the Serbian Citation Index. The system of visual search was not designed to replace the existing information retrieval model, but rather to enrich the users' information retrieval experience, especially in the case of specific exploration tasks, such as resolving typical vocabulary problems (e.g. polysemy), or analyzing collaboration networks among researchers. Several examples are given to illustrate the advantages of visual search model in the field of legume research and agricultural sciences in general. The authors point out possible benefits of the information visualization as a mediator between the user's query and search results, i.e. between user's information need and information space of the document corpus, anticipating a significant enhancement of mutual awareness of each other’s achievements in various topics of legume research.sr
dc.language.isoensr
dc.publisherInternational Legume Societysr
dc.publisherNovi Sad : Institute of Field and Vegetable Cropssr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/31024/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceBook of Abstracts, 1st Legume Society Conference 2013: A Legume Odyssey, 9-11 May 2013, Novi Sadsr
dc.subjectscientific information retrievalsr
dc.subjectSCIndeks Visual Searchsr
dc.subjectSerbian Citation Indexsr
dc.subjectinformation visualizationsr
dc.subjectlegumessr
dc.titleVisualize to explore: Towards a different model of scientific information retrieval with emphasis on legume researchsr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage132
dc.citation.spage132
dc.identifier.fulltexthttp://fiver.ifvcns.rs/bitstream/id/8406/133.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_fiver_3014
dc.type.versionpublishedVersionsr


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Prikaz osnovnih podataka o dokumentu