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  • × year_i:[2020 TO 2030}
  1. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.13 
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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.
  2. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.09 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Zhang, L.: ¬The knowledge organization education within and beyond the master of library and information science (2023) 0.06 
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    Abstract
    By analyzing 63 English-speaking institutions that offer ALA-accredited master's programs in library and information studies, this research aims to explore the education for knowl­edge organization (KO) at different levels and across fields. This research examines the KO courses that are the required courses and elective courses in the MLIS programs, that are offered in other master's programs and graduate certificate programs, that are adapted to the undergraduate degree and certificate programs, and that are particularly developed for programs other than MLIS. The findings indicate that the great majority of MLIS programs still have a focus on or a significant component of knowl­edge organization as their required course and include the knowl­edge organization elective courses, particularly library cataloging and classification, on their curriculum. However, there is a variety of the offerings of KO related courses across the programs in an institution or in the same program across the institutions. It shows a promising trend that the traditional and new KO courses play an important role in many other programs, at different levels and across fields. With the conventional, adapted, or innovative content, these courses demonstrate that the principles and skills of knowl­edge organization are applicable to a wide variety of settings, can be integrated with other disciplinary knowl­edge and emerging technologies, and meet the needs of different career pathways and groups of learners.
  4. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.05 
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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
  5. Smith, A.: Simple Knowledge Organization System (SKOS) (2022) 0.05 
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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.
  6. ¬Der Student aus dem Computer (2023) 0.04 
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    Date
    27. 1.2023 16:22:55
  7. Peters, I.: Folksonomies & Social Tagging (2023) 0.04 
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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.
  8. Huber, W.: Menschen, Götter und Maschinen : eine Ethik der Digitalisierung (2022) 0.04 
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    Content
    Vorwort -- 1. Das digitale Zeitalter -- Zeitenwende -- Die Vorherrschaft des Buchdrucks geht zu Ende -- Wann beginnt das digitale Zeitalter? -- 2. Zwischen Euphorie und Apokalypse -- Digitalisierung. Einfach. Machen -- Euphorie -- Apokalypse -- Verantwortungsethik -- Der Mensch als Subjekt der Ethik -- Verantwortung als Prinzip -- 3. Digitalisierter Alltag in einer globalisierten Welt -- Vom World Wide Web zum Internet der Dinge -- Mobiles Internet und digitale Bildung -- Digitale Plattformen und ihre Strategien -- Big Data und informationelle Selbstbestimmung -- 4. Grenzüberschreitungen -- Die Erosion des Privaten -- Die Deformation des Öffentlichen -- Die Senkung von Hemmschwellen -- Das Verschwinden der Wirklichkeit -- Die Wahrheit in der Infosphäre -- 5. Die Zukunft der Arbeit -- Industrielle Revolutionen -- Arbeit 4.0 -- Ethik 4.0 -- 6. Digitale Intelligenz -- Können Computer dichten? -- Stärker als der Mensch? -- Maschinelles Lernen -- Ein bleibender Unterschied -- Ethische Prinzipien für den Umgang mit digitaler Intelligenz -- Medizin als Beispiel -- 7. Die Würde des Menschen im digitalen Zeitalter -- Kränkungen oder Revolutionen -- Transhumanismus und Posthumanismus -- Gibt es Empathie ohne Menschen? -- Wer ist autonom: Mensch oder Maschine? -- Humanismus der Verantwortung -- 8. Die Zukunft des Homo sapiens -- Vergöttlichung des Menschen -- Homo deus -- Gott und Mensch im digitalen Zeitalter -- Veränderung der Menschheit -- Literatur -- Personenregister.
  9. Singh, A.; Sinha, U.; Sharma, D.k.: Semantic Web and data visualization (2020) 0.04 
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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
  10. Wu, D.; Xu, H.; Sun, Y.; Lv, S.: What should we teach? : A human-centered data science graduate curriculum model design for iField schools (2023) 0.04 
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    Abstract
    The information schools, also referred to as iField schools, are leaders in data science education. This study aims to develop a data science graduate curriculum model from an information science perspective to support iField schools in developing data science graduate education. In June 2020, information about 96 data science graduate programs from iField schools worldwide was collected and analyzed using a mixed research method based on inductive content analysis. A wide range of data science competencies and skills development and 12 knowledge topics covered by the curriculum were obtained. The humanistic model is further taken as the theoretical and methodological basis for course model construction, and 12 course knowledge topics are reconstructed into 4 course modules, including (a) data-driven methods and techniques; (b) domain knowledge; (c) legal, moral, and ethical aspects of data; and (d) shaping and developing personal traits, and human-centered data science graduate curriculum model is formed. At the end of the study, the wide application prospect of this model is discussed.
  11. Lewandowski, D.: Suchmaschinen verstehen : 3. vollständig überarbeitete und erweiterte Aufl. (2021) 0.04 
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    RSWK
    World Wide Web Recherche
    Subject
    World Wide Web Recherche
  12. Lewandowski, D.: Suchmaschinen (2023) 0.03 
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    Abstract
    Eine Suchmaschine (auch: Web-Suchmaschine, Universalsuchmaschine) ist ein Computersystem, das Inhalte aus dem World Wide Web (WWW) mittels Crawling erfasst und über eine Benutzerschnittstelle durchsuchbar macht, wobei die Ergebnisse in einer nach systemseitig angenommener Relevanz geordneten Darstellung aufgeführt werden. Dies bedeutet, dass Suchmaschinen im Gegensatz zu anderen Informationssystemen nicht auf einem klar abgegrenzten Datenbestand aufbauen, sondern diesen aus den verstreut vorliegenden Dokumenten des WWW zusammenstellen. Dieser Datenbestand wird über eine Benutzerschnittstelle zugänglich gemacht, die so gestaltet ist, dass die Suchmaschine von Laien problemlos genutzt werden kann. Die zu einer Suchanfrage ausgegebenen Treffer werden so sortiert, dass den Nutzenden die aus Systemsicht relevantesten Dokumente zuerst angezeigt werden. Dabei handelt es sich um komplexe Bewertungsverfahren, denen zahlreiche Annahmen über die Relevanz von Dokumenten in Bezug auf Suchanfragen zugrunde liegen.
  13. Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020) 0.03 
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    Abstract
    In using the Internet to solve everyday problems, older adults tend to find fewer correct answers compared to younger adults. Some authors have argued that these differences could be explained by age-related decline. The present study aimed to analyze the relationship between web-searching navigation and users' age, considering the Intelligence Quotient (IQ) and frequency of Internet and personal computer use. The intent was to identify differences due to age and not to other variables (that is, cognitive decline, expertise with the tool). Eighteen students (18-30?years) and 18 older adults (60-75?years) took part in the experiment. Inclusion criteria were the frequent use of computers and a web-searching activity; the older adults performed the Mini-Mental State Examination to exclude cognitive impairment. Participants were requested to perform the Kaufman Brief Intelligence Test 2nd ed. to measure their IQ level, and nine everyday web-searching tasks of differing complexity. The results showed that older participants spent more time on solving tasks than younger participants, but with the same accuracy as young people. Furthermore, nonverbal IQ improved performance in terms of time among the older participants. Age did not influence web-searching behavior in users with normal expertise and intelligence.
  14. Urs, S.R.; Minhaj, M.: Evolution of data science and its education in iSchools : an impressionistic study using curriculum analysis (2023) 0.03 
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    Abstract
    Data Science (DS) has emerged from the shadows of its parents-statistics and computer science-into an independent field since its origin nearly six decades ago. Its evolution and education have taken many sharp turns. We present an impressionistic study of the evolution of DS anchored to Kuhn's four stages of paradigm shifts. First, we construct the landscape of DS based on curriculum analysis of the 32 iSchools across the world offering graduate-level DS programs. Second, we paint the "field" as it emerges from the word frequency patterns, ranking, and clustering of course titles based on text mining. Third, we map the curriculum to the landscape of DS and project the same onto the Edison Data Science Framework (2017) and ACM Data Science Knowledge Areas (2021). Our study shows that the DS programs of iSchools align well with the field and correspond to the Knowledge Areas and skillsets. iSchool's DS curriculums exhibit a bias toward "data visualization" along with machine learning, data mining, natural language processing, and artificial intelligence; go light on statistics; slanted toward ontologies and health informatics; and surprisingly minimal thrust toward eScience/research data management, which we believe would add a distinctive iSchool flavor to the DS.
  15. Fernanda de Jesus, A.; Ferreira de Castro, F.: Proposal for the publication of linked open bibliographic data (2024) 0.03 
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    Abstract
    Linked Open Data (LOD) are a set of principles for publishing structured, connected data available for reuse under an open license. The objective of this paper is to analyze the publishing of bibliographic data such as LOD, having as a product the elaboration of theoretical-methodological recommendations for the publication of these data, in an approach based on the ten best practices for publishing LOD, from the World Wide Web Consortium. The starting point was the conduction of a Systematic Review of Literature, where initiatives to publish bibliographic data such as LOD were identified. An empirical study of these institutions was also conducted. As a result, theoretical-methodological recommendations were obtained for the process of publishing bibliographic data such as LOD.
  16. Menin, B.: Construction of a model as an information channel between the physical phenomenon and observer (2021) 0.03 
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    Abstract
    This study proposes a method to assess the accuracy limit of the measurements of physical variables to formulate a model, from the perspective of storing, transmitting, processing, and using of information by an observer. The results show the existence of a problem that advanced statistical methods are provably incapable of solving due to the presence of initial and inevitable model uncertainties arising from a qualitative set of base quantities and the number of variables which are considered, even before verifying the different sources of the uncertainties and executing any experimental measurements or computer calculations. The information contained in the model can be used theoretically and practically to test the solutions to a wide range of problems. Revealing the measurement accuracy limit (in addition to the Heisenberg inequality) with the help of the information transmitted from the studied phenomenon to the observer, which is then stored in the model, helps to perform two additional tasks: choosing the preferred method for measuring a particular physical constant, in physics; and calculating the exact value of the threshold discrepancy between the model and the measured object, in measurement theory. Further research indicates the possibility of allying these methods in biological and medical sciences.
  17. Asubiaro, T.V.; Onaolapo, S.: ¬A comparative study of the coverage of African journals in Web of Science, Scopus, and CrossRef (2023) 0.03 
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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
  18. Rieger, F.: Lügende Computer (2023) 0.03 
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    Date
    16. 3.2023 19:22:55
  19. 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) 0.02 
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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.
  20. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.02 
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    Abstract
    Conclusion There is a reason why Google Scholar and Web of Science/Scopus are kings of the hills in their various arenas. They have strong brand recogniton, a head start in development and a mass of eyeballs and users that leads to an almost virtious cycle of improvement. Competing against such well established competitors is not easy even when one has deep pockets (Microsoft) or a killer idea (scite). It will be interesting to see how the landscape will look like in 2030. Stay tuned for part II where I review each particular index.
    Date
    17.11.2020 12:22:59
    Object
    Web of Science

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