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Träfflista för sökning "AMNE:(SAMHÄLLSVETENSKAP) AMNE:(Medie och kommunikationsvetenskap) AMNE:(Kommunikationsvetenskap) ;pers:(Golub Koraljka)"

Sökning: AMNE:(SAMHÄLLSVETENSKAP) AMNE:(Medie och kommunikationsvetenskap) AMNE:(Kommunikationsvetenskap) > Golub Koraljka

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2.
  • Golub, Koraljka (författare)
  • Automated subject classification of textual web documents
  • 2006
  • Ingår i: Journal of Documentation. - : Emerald Group Publishing Limited. - 0022-0418 .- 1758-7379. ; 62:3, s. 350-371
  • Tidskriftsartikel (refereegranskat)abstract
    • Purpose– To provide an integrated perspective to similarities and differences between approaches to automated classification in different research communities (machine learning, information retrieval and library science), and point to problems with the approaches and automated classification as such.Design/methodology/approach– A range of works dealing with automated classification of full‐text web documents are discussed. Explorations of individual approaches are given in the following sections: special features (description, differences, evaluation), application and characteristics of web pages.Findings– Provides major similarities and differences between the three approaches: document pre‐processing and utilization of web‐specific document characteristics is common to all the approaches; major differences are in applied algorithms, employment or not of the vector space model and of controlled vocabularies. Problems of automated classification are recognized.Research limitations/implications– The paper does not attempt to provide an exhaustive bibliography of related resources.Practical implications– As an integrated overview of approaches from different research communities with application examples, it is very useful for students in library and information science and computer science, as well as for practitioners. Researchers from one community have the information on how similar tasks are conducted in different communities.Originality/value– To the author's knowledge, no review paper on automated text classification attempted to discuss more than one community's approach from an integrated perspective.
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3.
  • Golub, Koraljka (författare)
  • Automated subject classification of textual Web pages, based on a controlled vocabulary : challenges and recommendations
  • 2006
  • Ingår i: New Review of Hypermedia and Multimedia. - : Informa UK Limited. - 1361-4568 .- 1740-7842. ; 12:1, s. 11-27
  • Tidskriftsartikel (refereegranskat)abstract
    • The primary objective of this study was to identify and address problems of applying a controlled vocabulary in automated subject classification of textual Web pages, in the area of engineering. Web pages have special characteristics such as structural information, but are at the same time rather heterogeneous. The classification approach used comprises string-to-string matching between words in a term list extracted from the Ei (Engineering Information) thesaurus and classification scheme, and words in the text to be classified. Based on a sample of 70 Web pages, a number of problems with the term list are identified. Reasons for those problems are discussed and improvements proposed. Methods for implementing the improvements are also specified, suggesting further research.
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4.
  • Golub, Koraljka, et al. (författare)
  • Comparing and combining two approaches to automated subject classification of text
  • 2006
  • Ingår i: Research and advanced technology for digital libraries. - Berlin, Heidelberg : Springer. - 9783540446361 - 9783540446385 ; 4172, s. 467-470
  • Konferensbidrag (refereegranskat)abstract
    • A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach was based on an SVM algorithm, while the latter comprised string-matching between a controlled vocabulary and words in the text to be classified. Data collection consisted of a subset from Compendex, classified into six different classes. It was shown that SVM on average outperforms the string-matching approach: our hypothesis that SVM yields better recall and string-matching better precision was confirmed only on one of the classes. The two approaches being complementary, we investigated different combinations of the two based on combining their vocabularies. The results have shown that the original approaches, i.e. machine-learning approach without using background knowledge from the controlled vocabulary, and string-matching approach based on controlled vocabulary, outperform approaches in which combinations of automatically and manually obtained terms were used. Reasons for these results need further investigation, including a larger data collection and combining the two using predictions.
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5.
  • Koch, Traugott, et al. (författare)
  • Browsing and searching behavior in the Renardus Web service: a study based on log analysis
  • 2004
  • Ingår i: Proceedings of the Fourth ACM/IEEE Joint Conference on Digital Libraries. - : ACM Press. - 1581138326 ; , s. 378-378
  • Konferensbidrag (refereegranskat)abstract
    • Renardus is a distributed Web-based service, which provides integrated searching and browsing access to quality-controlled Web resources. With the overall purpose of improving Renardus, the research aims to study: the detailed usage patterns (quantitative/qualitative, paths through the system); the balance between browsing and searching or mixed activities; typical sequences of usage steps and transition probabilities in a session; typical entry points, referring sites, points of failure and exit points; and, the usage degree of the browsing support features
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6.
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7.
  • Koch, Traugott, et al. (författare)
  • Users browsing behaviour in a DDC-based Web service : a log analysis
  • 2006
  • Ingår i: Cataloging & Classification Quarterly. - : Taylor & Francis. - 0163-9374 .- 1544-4554. ; 42:3-4, s. 163-186
  • Tidskriftsartikel (refereegranskat)abstract
    • This study explores the navigation behaviour of all users of a large web service, Renardus, using web log analysis. Renardus provides integrated searching and browsing access to quality-controlled web resources from major individual subject gateway services. The main navigation feature is subject browsing through the Dewey Decimal Classification (DDC) based on mapping of classes of resources from the distributed gateways to the DDC structure. Among the more surprising results are the hugely dominant share of browsing activities, the good use of browsing support features like the graphical fish-eye overviews, rather long and varied navigation sequences, as well as extensive hierarchical directory-style browsing through the large DDC system.
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8.
  • Lund, Haakon, et al. (författare)
  • Capturing contexts for web filtering in the humanities
  • 2005
  • Ingår i: Proceedings of the ACM SIGIR 2005 Workshop on Information Retrieval in Context (IRiX). - Copenhagen : Royal School of Library and Information Science. - 8774152904 ; , s. 48-50
  • Konferensbidrag (refereegranskat)
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9.
  • Golub, Koraljka (författare)
  • Digital Humanities Master at Linnaeus University
  • 2017
  • Ingår i: 2nd International Symposium Digital Humanities: Empowering Visibility of Croatian Cultural Heritage. ; , s. 21-21
  • Konferensbidrag (refereegranskat)abstract
    • Linnaeus University has been leading several big initiatives at cross-sectora and cross- disciplinary axes over the past years, with the purpose of addressing future societal challenges. Digital Humanities is one of them; it has been receiving funds since 2016. Current big focus is placed on developing a Master program in Digital Humanities. The program is considered unique in that it defines a small core of obligatory courses and a big selection of elective from any relevant discipline at the university, grouped around three major suites: humanities, technology, business and economics. Further, major feature of the program is involving external sectors to the largest degree possible. The program will be given in the international online mode, free of charge to citizens of the European Union with a completed Bachelor degree. In order to test challenges and opportunities on this new interdisciplinary program, several courses were planned to be given in 2017 and 2018. The first course titled Programming for Digital Humanities is underway. The presentation will include these topics as well as discuss issues around bringing together different disciplines, students from different backgrounds, and teachers from different disciplines as well as from different sectors. 
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10.
  • Walsh, John A., et al. (författare)
  • Digital humanities in the iSchool
  • 2022
  • Ingår i: Journal of the Association for Information Science and Technology. - : John Wiley & Sons. - 2330-1635 .- 2330-1643. ; 73:25, s. 188-203
  • Tidskriftsartikel (refereegranskat)abstract
    • The interdisciplinary field known as digital humanities (DH) is represented in various forms in the teaching and research practiced in iSchools. Building on the work of an iSchools organization committee charged with exploring digital humanities curricula, we present findings from a series of related studies exploring aspects of DH teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Through a survey of iSchool programs and an online DH course registry, we investigate the various education models for DH training found in iSchools, followed by a detailed look at DH courses and curricula, explored through analysis of course syllabi and course descriptions. We take a brief look at collaborative disciplines with which iSchools cooperate on DH research projects or in offering DH education. Next, we explore DH careers through an analysis of relevant job advertisements. Finally, we offer some observations about the management and administrative challenges and opportunities related to offering a new iSchool DH program. Our results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives.
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