Search (208 results, page 1 of 11)

  • × year_i:[2020 TO 2030}
  1. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.16 
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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) 0.11 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Lewandowski, D.: Suchmaschinen (2023) 0.11 
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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.
  4. Lewandowski, D.: Suchmaschinen verstehen : 3. vollständig überarbeitete und erweiterte Aufl. (2021) 0.10 
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    RSWK
    Suchmaschine
    World Wide Web Recherche
    Subject
    Suchmaschine
    World Wide Web Recherche
  5. Smith, A.: Simple Knowledge Organization System (SKOS) (2022) 0.06 
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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. Peters, I.: Folksonomies & Social Tagging (2023) 0.05 
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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.
  7. Singh, A.; Sinha, U.; Sharma, D.k.: Semantic Web and data visualization (2020) 0.05 
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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
  8. Fernanda de Jesus, A.; Ferreira de Castro, F.: Proposal for the publication of linked open bibliographic data (2024) 0.04 
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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.
  9. 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
  10. 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) 0.03 
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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.
  11. Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020) 0.03 
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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
  12. Meineck, S.: Gesichter-Suchmaschine PimEyes bricht das Schweigen : Neuer Chef (2022) 0.03 
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    Abstract
    PimEyes untergräbt die Anonymität von Menschen, deren Gesicht im Internet zu finden ist. Nach breiter Kritik hatte sich die polnische Suchmaschine auf die Seychellen abgesetzt. Jetzt hat PimEyes einen neuen Chef - und geht an die Öfffentlichkeit.
    Source
    https://netzpolitik.org/2022/neuer-chef-gesichter-suchmaschine-pimeyes-bricht-das-schweigen/?utm_source=pocket-newtab-global-de-DE
  13. Thelwall, M.; Kousha, K.; Abdoli, M.; Stuart, E.; Makita, M.; Wilson, P.; Levitt, J.: Why are coauthored academic articles more cited : higher quality or larger audience? (2023) 0.03 
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    Abstract
    Collaboration is encouraged because it is believed to improve academic research, supported by indirect evidence in the form of more coauthored articles being more cited. Nevertheless, this might not reflect quality but increased self-citations or the "audience effect": citations from increased awareness through multiple author networks. We address this with the first science wide investigation into whether author numbers associate with journal article quality, using expert peer quality judgments for 122,331 articles from the 2014-20 UK national assessment. Spearman correlations between author numbers and quality scores show moderately strong positive associations (0.2-0.4) in the health, life, and physical sciences, but weak or no positive associations in engineering and social sciences, with weak negative/positive or no associations in various arts and humanities, and a possible negative association for decision sciences. This gives the first systematic evidence that greater numbers of authors associates with higher quality journal articles in the majority of academia outside the arts and humanities, at least for the UK. Positive associations between team size and citation counts in areas with little association between team size and quality also show that audience effects or other nonquality factors account for the higher citation rates of coauthored articles in some fields.
    Date
    22. 6.2023 18:11:50
  14. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.03 
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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
  15. Weiß, E.-M.: ChatGPT soll es richten : Microsoft baut KI in Suchmaschine Bing ein (2023) 0.02 
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    Abstract
    ChatGPT, die künstliche Intelligenz der Stunde, ist von OpenAI entwickelt worden. Und OpenAI ist in der Vergangenheit nicht unerheblich von Microsoft unterstützt worden. Nun geht es ums Profitieren: Die KI soll in die Suchmaschine Bing eingebaut werden, was eine direkte Konkurrenz zu Googles Suchalgorithmen und Intelligenzen bedeutet. Bing war da bislang nicht sonderlich erfolgreich. Wie "The Information" mit Verweis auf zwei Insider berichtet, plant Microsoft, ChatGPT in seine Suchmaschine Bing einzubauen. Bereits im März könnte die neue, intelligente Suche verfügbar sein. Microsoft hatte zuvor auf der hauseigenen Messe Ignite zunächst die Integration des Bildgenerators DALL·E 2 in seine Suchmaschine angekündigt - ohne konkretes Startdatum jedoch. Fragt man ChatGPT selbst, bestätigt der Chatbot seine künftige Aufgabe noch nicht. Weiß aber um potentielle Vorteile.
    Source
    https://www.heise.de/news/ChatGPT-soll-es-richten-Microsoft-baut-KI-in-Suchmaschine-Bing-ein-7447837.html
  16. Huber, W.: Menschen, Götter und Maschinen : eine Ethik der Digitalisierung (2022) 0.02 
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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.
  17. Zheng, X.; Chen, J.; Yan, E.; Ni, C.: Gender and country biases in Wikipedia citations to scholarly publications (2023) 0.02 
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    Abstract
    Ensuring Wikipedia cites scholarly publications based on quality and relevancy without biases is critical to credible and fair knowledge dissemination. We investigate gender- and country-based biases in Wikipedia citation practices using linked data from the Web of Science and a Wikipedia citation dataset. Using coarsened exact matching, we show that publications by women are cited less by Wikipedia than expected, and publications by women are less likely to be cited than those by men. Scholarly publications by authors affiliated with non-Anglosphere countries are also disadvantaged in getting cited by Wikipedia, compared with those by authors affiliated with Anglosphere countries. The level of gender- or country-based inequalities varies by research field, and the gender-country intersectional bias is prominent in math-intensive STEM fields. To ensure the credibility and equality of knowledge presentation, Wikipedia should consider strategies and guidelines to cite scholarly publications independent of the gender and country of authors.
    Date
    22. 1.2023 18:53:32
  18. Option für Metager als Standardsuchmaschine, Suchmaschine nach dem Peer-to-Peer-Prinzip (2021) 0.02 
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    Content
    "Option für Metager als Standardsuchmaschine. Google wurde von der EU verordnet, auf Android-Smartphones bei Neukonfiguration eine Auswahl an Suchmaschinen anzubieten, die als Standardsuchmaschine eingerichtet werden können. Suchmaschinen konnten sich im Rahmen einer Auktion bewerben. Auch wir hatten am Auktionsverfahren teilgenommen, jedoch rein formell mit einem Gebot von null Euro. Nun wurde Google von der EU angewiesen, auf das wettbewerbsverzerrende Auktionsverfahren zu verzichten und alle angemeldeten Suchmaschinen als Option anzubieten. Auf Android ist es nun optional möglich, MetaGer als Standardsuchmaschine für den Bereich D/A/CH auszuwählen. Zwar werden nicht immer alle Suchmaschinen zur Auswahl angezeigt, aber das Zufallsprinzip sorgt immerhin dafür, dass jede Suchmaschine mit einer gewissen Wahrscheinlichkeit in der Liste zu finden ist.
    Auch auf dem Volla-Phone ist es bald möglich, MetaGer als Standardsuchmaschine zu wählen. Das Volla Phone ist ein Produkt von "Hallo Welt Systeme UG" in Remscheid. Die Entwickler des Smartphones verfolgen den Ansatz, möglichst wenig von der Aufmerksamkeit des Nutzers zu beanspruchen. Technik soll nicht ablenken und sich in der Vordergrund spielen, sondern als bloßes Werkzeug im Hintergrund bleiben. Durch Möglichkeiten wie detaillierter Datenschutzeinstellungen, logfreiem VPN, quelloffener Apps aus einem alternativen App Store wird zudem Schutz der Privatsphäre ermöglicht - ganz ohne Google-Dienste. Durch die Partnerschaft mit MetaGer können die Nutzer von Volla-Phone auch im Bereich Suchmaschine Privatsphärenschutz realisieren. Mehr unter: https://suma-ev.de/mit-metager-auf-dem-volla-phone-suchen/
    YaCy: Suchmaschine nach dem Peer-to-Peer-Prinzip. YaCy ist eine dezentrale, freie Suchmaschine. Die Besonderheit: die freie Suchmaschine läuft nicht auf zentralen Servern eines einzelnen Betreibers, sondern funktioniert nach dem Peer-to-Peer (P2P) Prinzip. Dieses basiert darauf, dass die YaCy-Nutzer aufgerufene Webseiten auf ihrem Computer lokal indexieren. Jeder Nutzer "ercrawlt" sich damit einen kleinen Index, den er durch Kommunikation mit anderen YaCy-Peers teilen kann. Das Programm sorgt dafür, dass durch die kleinen dezentralen Crawler einzelner Nutzer schließlich ein globaler Gesamtindex entsteht. Je mehr Nutzer Teil dieser dezentralen Suche sind, desto größer wird der gemeinsame Index, auf den der einzelne Nutzer dann Zugriff haben kann. Seit kurzem befindet sich YaCy im Verbund unserer abgefragten Suchmaschinen. Wir sind somit auch Teil des Indexes der Suchmaschine.
  19. Marcondes, C.H.: Towards a vocabulary to implement culturally relevant relationships between digital collections in heritage institutions (2020) 0.02 
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    Abstract
    Cultural heritage institutions are publishing their digital collections over the web as LOD. This is is a new step in the patrimonialization and curatorial processes developed by such institutions. Many of these collections are thematically superimposed and complementary. Frequently, objects in these collections present culturally relevant relationships, such as a book about a painting, or a draft or sketch of a famous painting, etc. LOD technology enables such heritage records to be interlinked, achieving interoperability and adding value to digital collections, thus empowering heritage institutions. An aim of this research is characterizing such culturally relevant relationships and organizing them in a vocabulary. Use cases or examples of relationships between objects suggested by curators or mentioned in literature and in the conceptual models as FRBR/LRM, CIDOC CRM and RiC-CM, were collected and used as examples or inspiration of cultural relevant relationships. Relationships identified are collated and compared for identifying those with the same or similar meaning, synthesized and normalized. A set of thirty-three culturally relevant relationships are identified and formalized as a LOD property vocabulary to be used by digital curators to interlink digital collections. The results presented are provisional and a starting point to be discussed, tested, and enhanced.
    Date
    4. 3.2020 14:22:41
  20. Ekstrand, M.D.; Wright, K.L.; Pera, M.S.: Enhancing classroom instruction with online news (2020) 0.02 
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    Abstract
    Purpose This paper investigates how school teachers look for informational texts for their classrooms. Access to current, varied and authentic informational texts improves learning outcomes for K-12 students, but many teachers lack resources to expand and update readings. The Web offers freely available resources, but finding suitable ones is time-consuming. This research lays the groundwork for building tools to ease that burden. Design/methodology/approach This paper reports qualitative findings from a study in two stages: (1) a set of semistructured interviews, based on the critical incident technique, eliciting teachers' information-seeking practices and challenges; and (2) observations of teachers using a prototype teaching-oriented news search tool under a think-aloud protocol. Findings Teachers articulated different objectives and ways of using readings in their classrooms, goals and self-reported practices varied by experience level. Teachers struggled to formulate queries that are likely to return readings on specific course topics, instead searching directly for abstract topics. Experience differences did not translate into observable differences in search skill or success in the lab study. Originality/value There is limited work on teachers' information-seeking practices, particularly on how teachers look for texts for classroom use. This paper describes how teachers look for information in this context, setting the stage for future development and research on how to support this use case. Understanding and supporting teachers looking for information is a rich area for future research, due to the complexity of the information need and the fact that teachers are not looking for information for themselves.
    Date
    20. 1.2015 18:30:22

Authors

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