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  • × year_i:[2020 TO 2030}
  1. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.27
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    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.
    Imprint
    Wien / Library and Information Studies : Universität
  2. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.22
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Neudecker, C.: Zur Kuratierung digitalisierter Dokumente mit Künstlicher Intelligenz : das Qurator-Projekt (2020) 0.02
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    Abstract
    Die Digitalisierung des kulturellen Erbes in Bibliotheken, Archiven und Museen hat in den letzten Jahrzehnten eine rasant zunehmende Verfügbarkeit kultureller Inhalte im Web bewirkt - so hat die Staatsbibliothek zu Berlin - Preußischer Kulturbesitz (SBB-PK) rund 170.000 Werke (Bücher, Zeitschriften, Zeitungen, Karten, Notenschriften etc.) aus ihrem reichhaltigen Bestand digitalisiert und über ein eigenes Online-Portal bereitgestellt (Stand Mai 2020). Noch deutlicher wird die immense Menge der durch die Digitalisierung entstandenen digitalen Kulturobjekte beim Blick auf die von Aggregatoren gebildeten Sammlungen - so beinhaltet die Deutsche Digitale Bibliothek etwa 33 Millionen Nachweise für Digitalisate aus Kultureinrichtungen (Stand Mai 2020), die europäische digitale Bibliothek Europeana weist knapp 60 Millionen digitalisierte Kulturobjekte nach (Stand Mai 2020).
    Theme
    Elektronische Dokumente
  4. Smith, A.: Simple Knowledge Organization System (SKOS) (2022) 0.02
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    Abstract
    SKOS (Simple Knowledge Organization System) is a recommendation from the World Wide Web Consortium (W3C) for representing controlled vocabularies, taxonomies, thesauri, classifications, and similar systems for organizing and indexing information as linked data elements in the Semantic Web, using the Resource Description Framework (RDF). The SKOS data model is centered on "concepts", which can have preferred and alternate labels in any language as well as other metadata, and which are identified by addresses on the World Wide Web (URIs). Concepts are grouped into hierarchies through "broader" and "narrower" relations, with "top concepts" at the broadest conceptual level. Concepts are also organized into "concept schemes", also identified by URIs. Other relations, mappings, and groupings are also supported. This article discusses the history of the development of SKOS and provides notes on adoption, uses, and limitations.
  5. Peters, I.: Folksonomies & Social Tagging (2023) 0.02
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    Abstract
    Die Erforschung und der Einsatz von Folksonomies und Social Tagging als nutzerzentrierte Formen der Inhaltserschließung und Wissensrepräsentation haben in den 10 Jahren ab ca. 2005 ihren Höhenpunkt erfahren. Motiviert wurde dies durch die Entwicklung und Verbreitung des Social Web und der wachsenden Nutzung von Social-Media-Plattformen (s. Kapitel E 8 Social Media und Social Web). Beides führte zu einem rasanten Anstieg der im oder über das World Wide Web auffindbaren Menge an potenzieller Information und generierte eine große Nachfrage nach skalierbaren Methoden der Inhaltserschließung.
  6. Grundlagen der Informationswissenschaft (2023) 0.02
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    Abstract
    Die 7. Ausgabe der "Grundlagen der praktischen Information und Dokumentation" (Erstausgabe 1972) heißt jetzt: "Grundlagen der Informationswissenschaft". Der Bezug zur Praxis und zur Ausbildung bleibt erhalten, aber der neue Titel trägt dem Rechnung, dass die wissenschaftliche theoretische Absicherung für alle Bereiche von Wissen und Information, nicht nur in der Fachinformation, sondern auch in den Informationsdiensten des Internet immer wichtiger wird. Für die Grundlagen sind 73 Artikel in 6 Hauptkapiteln vorgesehen. Viele Themen werden zum ersten Mal behandelt, z.B. Information und Emotion, Informationelle Selbstbestimmung, Informationspathologien. Alle Beiträge sind neu verfasst.
    Content
    Enthält die Kapitel: Grußwort Hochschulverband Informationswissenschaft / Vorwort der Herausgeber / Rainer Kuhlen & Wolfgang Semar: A 1 Information - ein Konstrukt mit Folgen - 3 / Marlies Ockenfeld: A 2 Institutionalisierung der Informationswissenschaft und der IuD-Infrastruktur in Deutschland - 27 / Hans-Christoph Hobohm: A 3 Theorien in der Informationswissenschaft - 45 / Julia Maria Struß & Dirk Lewandowski: A 4 Methoden in der Informationswissenschaft - 57 / Ursula Georgy, Frauke Schade & Stefan Schmunk A 5 Ausbildung, Studium und Weiterbildung in der Informationswissenschaft - 71 / Robert Strötgen & René Schneider: A 6 Bibliotheken - 83 / Karin Schwarz: A 7 Archive - 93 / Hartwig Lüdtke: A 8 Museen - 103 / Barbara Müller-Heiden: A 9 Mediatheken - 111 / Ragna Seidler-de Alwis: A 10 Information Professionals - 117 / Axel Ermert: A 11 Normen und Standardisierung im Informationsbereich - 123 / Thomas Bähr: A 12 Langzeitarchivierung - 135 / Ulrich Reimer: B 1 Einführung in die Wissensorganisation - 147 / Gerd Knorz: B 2 Intellektuelles Indexieren - 159 / Klaus Lepsky: B 3 Automatisches Indexieren - 171 / Andreas Oskar Kempf: B 4 Thesauri - 183 / Michael Kleineberg: B 5 Klassifikation - 195 / Heidrun Wiesenmüller: B 6 Formale Erschließung - 207 / Jochen Fassbender: B 7 Register/Indexe - 219 / Udo Hahn: B 8 Abstracting - Textzusammenfassung - 233 / Rolf Assfalg: B 9 Metadaten - 245 / Heiko Rölke & Albert Weichselbraun: B 10 Ontologien und Linked Open Data - 257 / Isabelle Dorsch & Stefanie Haustein: B 11 Bibliometrie - 271 / Udo Hahn: B 12 Automatische Sprachverarbeitung - 281 /
    Hans-Christian Jetter: B 13 Informationsvisualisierung und Visual Analytics - 295 / Melanie Siegel: B 14 Maschinelle Übersetzung - 307 / Ulrich Herb: B 15 Verfahren der wissenschaftlichen Qualitäts-/ Relevanzsicherung / Evaluierung - 317 / Thomas Mandl: B 16 Text Mining und Data Mining - 327 / Heike Neuroth: B 17 Forschungsdaten - 339 / Isabella Peters: B 18 Folksonomies & Social Tagging - 351 / Christa Womser-Hacker: C 1 Informationswissenschaftliche Perspektiven des Information Retrieval - 365 / Norbert Fuhr: C 2 Modelle im Information Retrieval - 379 / Dirk Lewandowski: C 3 Suchmaschinen - 391 / David Elsweiler & Udo Kruschwitz: C 4 Interaktives Information Retrieval - 403 / Thomas Mandl & Sebastian Diem: C 5 Bild- und Video-Retrieval - 413 / Maximilian Eibl, Josef Haupt, Stefan Kahl, Stefan Taubert & Thomas Wilhelm-Stein: C 6 Audio- und Musik-Retrieval - 423 / Christa Womser-Hacker: C 7 Cross-Language Information Retrieval (CLIR) - 433 / Vivien Petras & Christa Womser-Hacker: C 8 Evaluation im Information Retrieval - 443 / Philipp Schaer: C 9 Sprachmodelle und neuronale Netze im Information Retrieval - 455 / Stefanie Elbeshausen: C 10 Modellierung von Benutzer*innen, Kontextualisierung, Personalisierung - 467 / Ragna Seidler-de Alwis: C 11 Informationsrecherche - 477 / Ulrich Reimer: C 12 Empfehlungssysteme - 485 / Elke Greifeneder & Kirsten Schlebbe: D 1 Information Behaviour - 499 / Nicola Döring: D 2 Computervermittelte Kommunikation - 511 / Hans-Christian Jetter: D 3 Mensch-Computer-Interaktion, Usability und User Experience - 525 / Gabriele Irle: D 4 Emotionen im Information Seeking - 535 /
    Kirsten Schlebbe & Elke Greifeneder: D 5 Information Need, Informationsbedarf und -bedürfnis - 543 / Dirk Lewandowski & Christa Womser-Hacker: D 6 Information Seeking Behaviour - 553 / Wolfgang Semar: D 7 Informations- und Wissensmanagement - 567 / Joachim Griesbaum: D 8 Informationskompetenz - 581 / Antje Michel, Maria Gäde, Anke Wittich & Inka Tappenbeck: D 9 Informationsdidaktik - 595 / Rainer Kuhlen: E 1 Informationsmarkt - 605 / Wolfgang Semar: E 2 Plattformökonomie - 621 / Tassilo Pellegrini & Jan Krone: E 3 Medienökonomie - 633 / Christoph Bläsi: E 4 Verlage in Wissenschaft und Bildung - 643 / Irina Sens, Alexander Pöche, Dana Vosberg, Judith Ludwig & Nicola Bieg: E 5 Lizenzierungsformen - 655 / Joachim Griesbaum: E 6 Online-Marketing - 667 / Frauke Schade & Ursula Georgy: E 7 Marketing für Informationseinrichtungen - 679 / Isabella Peters: E 8 Social Media & Social Web - 691 / Klaus Tochtermann & Anna Maria Höfler: E 9 Open Science - 703 / Ulrich Herb & Heinz Pampel: E 10 Open Access - 715 / Tobias Siebenlist: E 11 Open Data - 727 / Sigrid Fahrer & Tamara Heck: E 12 Open Educational Resources - 735 / Tobias Siebenlist: E 13 Open Government - 745 / Herrmann Rösch: F 1 Informationsethik - 755 / Bernard Bekavac: F 2 Informations-, Kommunikationstechnologien- und Webtechnologien - 773 / Peter Brettschneider: F 3 Urheberrecht - 789 / Johannes Caspar: F 4 Datenschutz und Informationsfreiheit - 803 / Norman Meuschke, Nicole Walger & Bela Gipp: F 5 Plagiat - 817 / Rainer Kuhlen: F 6 Informationspathologien - Desinformation - 829 / Glossar
    Footnote
    Vgl.: https://doi.org/10.1515/9783110769043. Rez. in: o-bib. 10(2023), H.2 (A. Oßwald) [https://www.o-bib.de/bib/article/view/5934/8904]; Bibliothek: Forschung und Praxis. 47(2023) H.2, S.415-417 (D. Weisbrod) [https://www.degruyter.com/document/doi/10.1515/bfp-2023-0031/html].
  7. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.02
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    Abstract
    With the wide application of keyphrases in many Information Retrieval (IR) and Natural Language Processing (NLP) tasks, automatic keyphrase prediction has been emerging. However, these statistically important phrases are contributing increasingly less to the related tasks because the end-to-end learning mechanism enables models to learn the important semantic information of the text directly. Similarly, keyphrases are of little help for readers to quickly grasp the paper's main idea because the relationship between the keyphrase and the paper is not explicit to readers. Therefore, we propose to generate keyphrases with specific functions for readers to bridge the semantic gap between them and the information producers, and verify the effectiveness of the keyphrase function for assisting users' comprehension with a user experiment. A controllable keyphrase generation framework (the CKPG) that uses the keyphrase function as a control code to generate categorized keyphrases is proposed and implemented based on Transformer, BART, and T5, respectively. For the Computer Science domain, the Macro-avgs of , , and on the Paper with Code dataset are up to 0.680, 0.535, and 0.558, respectively. Our experimental results indicate the effectiveness of the CKPG models.
    Date
    22. 6.2023 14:55:20
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.7, S.759-774
  8. Gabler, S.: Thesauri - a Toolbox for Information Retrieval (2023) 0.02
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    Source
    Bibliothek: Forschung und Praxis. 47(2023) H.2, S.189-199
  9. Soshnikov, D.: ROMEO: an ontology-based multi-agent architecture for online information retrieval (2021) 0.02
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    Abstract
    This paper describes an approach to path-finding in the intelligent graphs, with vertices being intelligent agents. A possible implementation of this approach is described, based on logical inference in distributed frame hierarchy. Presented approach can be used for implementing distributed intelligent information systems that include automatic navigation and path generation in hypertext, which can be used, for example in distance education, as well as for organizing intelligent web catalogues with flexible ontology-based information retrieval.
  10. Araújo, P.C. de; Gutierres Castanha, R.C.; Hjoerland, B.: Citation indexing and indexes (2021) 0.02
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    Abstract
    A citation index is a bibliographic database that provides citation links between documents. The first modern citation index was suggested by the researcher Eugene Garfield in 1955 and created by him in 1964, and it represents an important innovation to knowledge organization and information retrieval. This article describes citation indexes in general, considering the modern citation indexes, including Web of Science, Scopus, Google Scholar, Microsoft Academic, Crossref, Dimensions and some special citation indexes and predecessors to the modern citation index like Shepard's Citations. We present comparative studies of the major ones and survey theoretical problems related to the role of citation indexes as subject access points (SAP), recognizing the implications to knowledge organization and information retrieval. Finally, studies on citation behavior are presented and the influence of citation indexes on knowledge organization, information retrieval and the scientific information ecosystem is recognized.
    Object
    Web of Science
  11. Gartner, R.: Metadata in the digital library : building an integrated strategy with XML (2021) 0.01
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    Abstract
    The range of metadata needed to run a digital library and preserve its collections in the long term is much more extensive and complicated than anything in its traditional counterpart. It includes the same 'descriptive' information which guides users to the resources they require but must supplement this with comprehensive 'administrative' metadata: this encompasses technical details of the files that make up its collections, the documentation of complex intellectual property rights and the extensive set needed to support its preservation in the long-term. To accommodate all of this requires the use of multiple metadata standards, all of which have to be brought together into a single integrated whole.
    Classification
    AN 73700: Digitale Bibliothek / Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft
    Content
    Inhalt: 1 Introduction, Aims and Definitions -- 1.1 Origins -- 1.2 From information science to libraries -- 1.3 The central place of metadata -- 1.4 The book in outline -- 2 Metadata Basics -- 2.1 Introduction -- 2.2 Three types of metadata -- 2.2.1 Descriptive metadata -- 2.2.2 Administrative metadata -- 2.2.3 Structural metadata -- 2.3 The core components of metadata -- 2.3.1 Syntax -- 2.3.2 Semantics -- 2.3.3 Content rules -- 2.4 Metadata standards -- 2.5 Conclusion -- 3 Planning a Metadata Strategy: Basic Principles -- 3.1 Introduction -- 3.2 Principle 1: Support all stages of the digital curation lifecycle -- 3.3 Principle 2: Support the long-term preservation of the digital object -- 3.4 Principle 3: Ensure interoperability -- 3.5 Principle 4: Control metadata content wherever possible -- 3.6 Principle 5: Ensure software independence -- 3.7 Principle 6: Impose a logical system of identifiers -- 3.8 Principle 7: Use standards whenever possible -- 3.9 Principle 8: Ensure the integrity of the metadata itself -- 3.10 Summary: the basic principles of a metadata strategy -- 4 Planning a Metadata Strategy: Applying the Basic Principles -- 4.1 Introduction -- 4.2 Initial steps: standards as a foundation -- 4.2.1 'Off-the shelf' standards -- 4.2.2 Mapping out an architecture and serialising it into a standard -- 4.2.3 Devising a local metadata scheme -- 4.2.4 How standards support the basic principles -- 4.3 Identifiers: everything in its place -- 5 XML: The Syntactical Foundation of Metadata -- 5.1 Introduction -- 5.2 What XML looks like -- 5.3 XML schemas -- 5.4 Namespaces -- 5.5 Creating and editing XML -- 5.6 Transforming XML -- 5.7 Why use XML? -- 6 METS: The Metadata Package -- 6.1 Introduction -- 6.2 Why use METS?.
    RSWK
    Elektronische Bibliothek / Metadaten
    RVK
    AN 73700: Digitale Bibliothek / Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft
    Subject
    Elektronische Bibliothek / Metadaten
  12. Ostani, M.M.; Sohrabi, M.C.; Taheri, S.M.; Asemi, A.: Localization of Schema.org for manuscript description in the Iranian-Islamic information context (2021) 0.01
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    Abstract
    This study aims to assess the localization of Schema.org for manuscript description in the Iranian-Islamic information context using documentary and qualitative content analysis. The schema.org introduces schemas for different Web content objects so as to generate structured data. Given that the structure of Schema.org is ontological, the inheritance of the manuscript types from the properties of their parent types, as well as the localization and description of the specific properties of the manuscripts in the Iranian-Islamic information context were investigated in order to improve their indexability and semantic visibility in the Web search engines. The proposed properties specific to the manuscript type and the six proposed properties to be added to the "CreativeWork" type are found to be consistent with other schema properties. In turn, these properties lead to the localization of the existing schema for the manuscript type compatibility with the Iranian-Islamic information context. This schema is also applicable to centers with published records on the Web, and if markup with these properties, their indexability and semantic visibility in Web search engines increases accordingly. The generation of structured data in the Web environment through this schema is deemed to promote the concept of the Semantic Web, and make data and knowledge retrieval easier.
  13. Lee, H.S.; Arnott Smith, C.: ¬A comparative mixed methods study on health information seeking among US-born/US-dwelling, Korean-born/US-dwelling, and Korean-born/Korean-dwelling mothers (2022) 0.01
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    Abstract
    More knowledge and a better understanding of health information seeking are necessary, especially in these unprecedented times due to the COVID-19 pandemic. Using Sonnenwald's theoretical concept of information horizons, this study aimed to uncover patterns in mothers' source preferences related to their children's health. Online surveys were completed by 851 mothers (255 US-born/US-dwelling, 300 Korean-born/US-dwelling, and 296 Korean-born/Korean-dwelling), and supplementary in-depth interviews with 24 mothers were conducted and analyzed. Results indicate that there were remarkable differences between the mothers' information source preference and their actual source use. Moreover, there were many similarities between the two Korean-born groups concerning health information-seeking behavior. For instance, those two groups sought health information more frequently than US-born/US-dwelling mothers. Their sources frequently included blogs or online forums as well as friends with children, whereas US-born/US-dwelling mothers frequently used doctors or nurses as information sources. Mothers in the two Korean-born samples preferred the World Wide Web most as their health information source, while the US-born/US-dwelling mothers preferred doctors the most. Based on these findings, information professionals should guide mothers of specific ethnicities and nationalities to trustworthy sources considering both their usage and preferences.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.7, S.929-943
  14. Bergman, O.; Israeli, T.; Whittaker, S.: Factors hindering shared files retrieval (2020) 0.01
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    Abstract
    Purpose Personal information management (PIM) is an activity in which people store information items in order to retrieve them later. The purpose of this paper is to test and quantify the effect of factors related to collection size, file properties and workload on file retrieval success and efficiency. Design/methodology/approach In the study, 289 participants retrieved 1,557 of their shared files in a naturalistic setting. The study used specially developed software designed to collect shared files' names and present them as targets for the retrieval task. The dependent variables were retrieval success, retrieval time and misstep/s. Findings Various factors compromise shared files retrieval including: collection size (large number of files), file properties (multiple versions, size of team sharing the file, time since most recent retrieval and folder depth) and workload (daily e-mails sent and received). The authors discuss theoretical reasons for these negative effects and suggest possible ways to overcome them. Originality/value Retrieval is the main reason people manage personal information. It is essential for retrieval to be successful and efficient, as information cannot be used unless it can be re-accessed. Prior PIM research has assumed that factors related to collection size, file properties and workload affect file retrieval. However, this is the first study to systematically quantify the negative effects of these factors. As each of these factors is expected to be exacerbated in the future, this study is a necessary first step toward addressing these problems.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 72(2020) no.1, S.130-147
  15. ¬The library's guide to graphic novels (2020) 0.01
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    Abstract
    The circ stats say it all: graphic novels' popularity among library users keeps growing, with more being published (and acquired by libraries) each year. The unique challenges of developing and managing a graphics novels collection have led the Association of Library Collections and Technical Services (ALCTS) to craft this guide, presented under the expert supervision of editor Ballestro, who has worked with comics for more than 35 years. Examining the ever-changing ways that graphic novels are created, packaged, marketed, and released, this resource gathers a range of voices from the field to explore such topics as: a cultural history of comics and graphic novels from their World War II origins to today, providing a solid grounding for newbies and fresh insights for all; catching up on the Big Two's reboots: Marvel's 10 and DC's 4; five questions to ask when evaluating nonfiction graphic novels and 30 picks for a core collection; key publishers and cartoonists to consider when adding international titles; developing a collection that supports curriculum and faculty outreach to ensure wide usage, with catalogers' tips for organizing your collection and improving discovery; real-world examples of how libraries treat graphic novels, such as an in-depth profile of the development of Penn Library's Manga collection; how to integrate the emerging field of graphic medicine into the collection; and specialized resources like The Cartoonists of Color and Queer Cartoonists databases, the open access scholarly journal Comic Grid, and the No Flying, No Tights website. Packed with expert guidance and useful information, this guide will assist technical services staff, catalogers, and acquisition and collection management librarians.
    RSWK
    Bibliothek / Comic / Graphic Novel / Sammlung / Universitätsbibliothek / Wissenschaftliche Bibliothek
    Subject
    Bibliothek / Comic / Graphic Novel / Sammlung / Universitätsbibliothek / Wissenschaftliche Bibliothek
  16. Alipour, O.; Soheili, F.; Khasseh, A.A.: ¬A co-word analysis of global research on knowledge organization: 1900-2019 (2022) 0.01
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    Abstract
    The study's objective is to analyze the structure of knowledge organization studies conducted worldwide. This applied research has been conducted with a scientometrics approach using the co-word analysis. The research records consisted of all articles published in the journals of Knowledge Organization and Cataloging & Classification Quarterly and keywords related to the field of knowledge organization indexed in Web of Science from 1900 to 2019, in which 17,950 records were analyzed entirely with plain text format. The total number of keywords was 25,480, which was reduced to 12,478 keywords after modifications and removal of duplicates. Then, 115 keywords with a frequency of at least 18 were included in the final analysis, and finally, the co-word network was drawn. BibExcel, UCINET, VOSviewer, and SPSS software were used to draw matrices, analyze co-word networks, and draw dendrograms. Furthermore, strategic diagrams were drawn using Excel software. The keywords "information retrieval," "classification," and "ontology" are among the most frequently used keywords in knowledge organization articles. Findings revealed that "Ontology*Semantic Web", "Digital Library*Information Retrieval" and "Indexing*Information Retrieval" are highly frequent co-word pairs, respectively. The results of hierarchical clustering indicated that the global research on knowledge organization consists of eight main thematic clusters; the largest is specified for the topic of "classification, indexing, and information retrieval." The smallest clusters deal with the topics of "data processing" and "theoretical concepts of information and knowledge organization" respectively. Cluster 1 (cataloging standards and knowledge organization) has the highest density, while Cluster 5 (classification, indexing, and information retrieval) has the highest centrality. According to the findings of this research, the keyword "information retrieval" has played a significant role in knowledge organization studies, both as a keyword and co-word pair. In the co-word section, there is a type of related or general topic relationship between co-word pairs. Results indicated that information retrieval is one of the main topics in knowledge organization, while the theoretical concepts of knowledge organization have been neglected. In general, the co-word structure of knowledge organization research indicates the multiplicity of global concepts and topics studied in this field globally.
  17. Breuer, T.; Tavakolpoursaleh, N.; Schaer, P.; Hienert, D.; Schaible, J.; Castro, L.J.: Online Information Retrieval Evaluation using the STELLA Framework (2022) 0.01
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    Abstract
    Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in production, new opportunities to observe, evaluate and learn from users emerge as more information becomes available. Gathering information from users to continuously evaluate their behavior is a common practice for commercial software, while the Cranfield paradigm remains the preferred option for Information Retrieval (IR) and recommendation systems in the academic world. Here we introduce the Infrastructures for Living Labs STELLA project which aims to create an evaluation infrastructure allowing experimental systems to run along production web-based academic search systems with real users. STELLA combines user interactions and log files analyses to enable large-scale A/B experiments for academic search.
  18. Singh, A.; Sinha, U.; Sharma, D.k.: Semantic Web and data visualization (2020) 0.01
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    Abstract
    With the terrific growth of data volume and data being produced every second on millions of devices across the globe, there is a desperate need to manage the unstructured data available on web pages efficiently. Semantic Web or also known as Web of Trust structures the scattered data on the Internet according to the needs of the user. It is an extension of the World Wide Web (WWW) which focuses on manipulating web data on behalf of Humans. Due to the ability of the Semantic Web to integrate data from disparate sources and hence makes it more user-friendly, it is an emerging trend. Tim Berners-Lee first introduced the term Semantic Web and since then it has come a long way to become a more intelligent and intuitive web. Data Visualization plays an essential role in explaining complex concepts in a universal manner through pictorial representation, and the Semantic Web helps in broadening the potential of Data Visualization and thus making it an appropriate combination. The objective of this chapter is to provide fundamental insights concerning the semantic web technologies and in addition to that it also elucidates the issues as well as the solutions regarding the semantic web. The purpose of this chapter is to highlight the semantic web architecture in detail while also comparing it with the traditional search system. It classifies the semantic web architecture into three major pillars i.e. RDF, Ontology, and XML. Moreover, it describes different semantic web tools used in the framework and technology. It attempts to illustrate different approaches of the semantic web search engines. Besides stating numerous challenges faced by the semantic web it also illustrates the solutions.
    Theme
    Semantic Web
  19. Hasanain, M.; Elsayed, T.: Studying effectiveness of Web search for fact checking (2022) 0.01
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    Abstract
    Web search is commonly used by fact checking systems as a source of evidence for claim verification. In this work, we demonstrate that the task of retrieving pages useful for fact checking, called evidential pages, is indeed different from the task of retrieving topically relevant pages that are typically optimized by search engines; thus, it should be handled differently. We conduct a comprehensive study on the performance of retrieving evidential pages over a test collection we developed for the task of re-ranking Web pages by usefulness for fact-checking. Results show that pages (retrieved by a commercial search engine) that are topically relevant to a claim are not always useful for verifying it, and that the engine's performance in retrieving evidential pages is weakly correlated with retrieval of topically relevant pages. Additionally, we identify types of evidence in evidential pages and some linguistic cues that can help predict page usefulness. Moreover, preliminary experiments show that a retrieval model leveraging those cues has a higher performance compared to the search engine. Finally, we show that existing systems have a long way to go to support effective fact checking. To that end, our work provides insights to guide design of better future systems for the task.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.738-751
  20. Asubiaro, T.V.; Onaolapo, S.: ¬A comparative study of the coverage of African journals in Web of Science, Scopus, and CrossRef (2023) 0.01
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    Abstract
    This is the first study that evaluated the coverage of journals from Africa in Web of Science, Scopus, and CrossRef. A list of active journals published in each of the 55 African countries was compiled from Ulrich's periodicals directory and African Journals Online (AJOL) website. Journal master lists for Web of Science, Scopus, and CrossRef were searched for the African journals. A total of 2,229 unique active African journals were identified from Ulrich (N = 2,117, 95.0%) and AJOL (N = 243, 10.9%) after removing duplicates. The volume of African journals in Web of Science and Scopus databases is 7.4% (N = 166) and 7.8% (N = 174), respectively, compared to the 45.6% (N = 1,017) covered in CrossRef. While making up only 17.% of all the African journals, South African journals had the best coverage in the two most authoritative databases, accounting for 73.5% and 62.1% of all the African journals in Web of Science and Scopus, respectively. In contrast, Nigeria published 44.5% of all the African journals. The distribution of the African journals is biased in favor of Medical, Life and Health Sciences and Humanities and the Arts in the three databases. The low representation of African journals in CrossRef, a free indexing infrastructure that could be harnessed for building an African-centric research indexing database, is concerning.
    Date
    22. 6.2023 14:09:06
    Object
    Web of Science
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.7, S.745-758

Languages

  • e 668
  • d 145
  • pt 4
  • m 2
  • sp 1
  • More… Less…

Types

  • a 760
  • el 92
  • m 32
  • p 8
  • s 7
  • x 2
  • A 1
  • EL 1
  • More… Less…

Themes

Subjects

Classifications