Search (146 results, page 1 of 8)

  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.04 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Bergman, O.; Israeli, T.; Whittaker, S.: Factors hindering shared files retrieval (2020) 0.04 
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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
  3. Dietz, K.: en.wikipedia.org > 6 Mio. Artikel (2020) 0.03 
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    Content
    "Die Englischsprachige Wikipedia verfügt jetzt über mehr als 6 Millionen Artikel. An zweiter Stelle kommt die deutschsprachige Wikipedia mit 2.3 Millionen Artikeln, an dritter Stelle steht die französischsprachige Wikipedia mit 2.1 Millionen Artikeln (via Researchbuzz: Firehose <https://rbfirehose.com/2020/01/24/techcrunch-wikipedia-now-has-more-than-6-million-articles-in-english/> und Techcrunch <https://techcrunch.com/2020/01/23/wikipedia-english-six-million-articles/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+Techcrunch+%28TechCrunch%29&guccounter=1&guce_referrer=aHR0cHM6Ly9yYmZpcmVob3NlLmNvbS8yMDIwLzAxLzI0L3RlY2hjcnVuY2gtd2lraXBlZGlhLW5vdy1oYXMtbW9yZS10aGFuLTYtbWlsbGlvbi1hcnRpY2xlcy1pbi1lbmdsaXNoLw&guce_referrer_sig=AQAAAK0zHfjdDZ_spFZBF_z-zDjtL5iWvuKDumFTzm4HvQzkUfE2pLXQzGS6FGB_y-VISdMEsUSvkNsg2U_NWQ4lwWSvOo3jvXo1I3GtgHpP8exukVxYAnn5mJspqX50VHIWFADHhs5AerkRn3hMRtf_R3F1qmEbo8EROZXp328HMC-o>). 250120 via digithek ch = #fineBlog s.a.: Angesichts der Veröffentlichung des 6-millionsten Artikels vergangene Woche in der englischsprachigen Wikipedia hat die Community-Zeitungsseite "Wikipedia Signpost" ein Moratorium bei der Veröffentlichung von Unternehmensartikeln gefordert. Das sei kein Vorwurf gegen die Wikimedia Foundation, aber die derzeitigen Maßnahmen, um die Enzyklopädie gegen missbräuchliches undeklariertes Paid Editing zu schützen, funktionierten ganz klar nicht. *"Da die ehrenamtlichen Autoren derzeit von Werbung in Gestalt von Wikipedia-Artikeln überwältigt werden, und da die WMF nicht in der Lage zu sein scheint, dem irgendetwas entgegenzusetzen, wäre der einzige gangbare Weg für die Autoren, fürs erste die Neuanlage von Artikeln über Unternehmen zu untersagen"*, schreibt der Benutzer Smallbones in seinem Editorial <https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2020-01-27/From_the_editor> zur heutigen Ausgabe."
  4. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.03 
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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.
  5. Chassanoff, A.; Altman, M.: Curation as "Interoperability With the Future" : preserving scholarly research software in academic libraries (2020) 0.03 
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    Abstract
    This article considers the problem of preserving research software within the wider realm of digital curation, academic research libraries, and the scholarly record. We conducted a pilot study to understand the ecosystem in which research software participates, and to identify significant characteristics that have high potential to support future scholarly practices. A set of topical curation dimensions were derived from the extant literature and applied to select cases of institutionally significant research software. This approach yields our main contribution, a curation model and decision framework for preserving research software as a scholarly object. The results of our study highlight the unique characteristics and challenges at play in building curation services in academic research libraries.
    Form
    Software
  6. Scobel, G.: GPT: Eine Software, die die Welt verändert (2023) 0.03 
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    Abstract
    GPT-3 ist eine jener Entwicklungen, die binnen weniger Monate an Einfluss und Reichweite zulegen. Die Software wird sich massiv auf Ökonomie und Gesellschaft auswirken.
  7. Du, C.; Cohoon, J.; Lopez, P.; Howison, J.: Softcite dataset : a dataset of software mentions in biomedical and economic research publications (2021) 0.03 
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    Abstract
    Software contributions to academic research are relatively invisible, especially to the formalized scholarly reputation system based on bibliometrics. In this article, we introduce a gold-standard dataset of software mentions from the manual annotation of 4,971 academic PDFs in biomedicine and economics. The dataset is intended to be used for automatic extraction of software mentions from PDF format research publications by supervised learning at scale. We provide a description of the dataset and an extended discussion of its creation process, including improved text conversion of academic PDFs. Finally, we reflect on our challenges and lessons learned during the dataset creation, in hope of encouraging more discussion about creating datasets for machine learning use.
    Form
    Software
  8. Rieder, B.: Engines of order : a mechanology of algorithmic techniques (2020) 0.03 
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    Abstract
    Software has become a key component of contemporary life and algorithmic techniques that rank, classify, or recommend anything that fits into digital form are everywhere. This book approaches the field of information ordering conceptually as well as historically. Building on the philosophy of Gilbert Simondon and the cultural techniques tradition, it first examines the constructive and cumulative character of software and shows how software-making constantly draws on large reservoirs of existing knowledge and techniques. It then reconstructs the historical trajectories of a series of algorithmic techniques that have indeed become the building blocks for contemporary practices of ordering. Developed in opposition to centuries of library tradition, coordinate indexing, text processing, machine learning, and network algorithms instantiate dynamic, perspectivist, and interested forms of arranging information, ideas, or people. Embedded in technical infrastructures and economic logics, these techniques have become engines of order that transform the spaces they act upon.
    Content
    Part I -- 1. Engines of Order -- 2. Rethinking Software -- 3. Software-Making and Algorithmic Techniques -- Part II -- 4. From Universal Classification to a Postcoordinated Universe -- 5. From Frequencies to Vectors -- 6. Interested Learning -- 7. Calculating Networks: From Sociometry to PageRank -- Conclusion: Toward Technical Culture Erscheint als Open Access bei De Gruyter.
    LCSH
    Algorithms ; Computer software
    Subject
    Algorithms ; Computer software
  9. Acker, A.: Emulation practices for software preservation in libraries, archives, and museums (2021) 0.03 
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    Abstract
    Emulation practices are computational, technical processes that allow for one system to reproduce the functions and results of another. This article reports on findings from research following three small teams of information professionals as they implemented emulation practices into their digital preservation programs at a technology museum, a university research library, and a university research archive and technology lab. Results suggest that the distributed teams in this cohort of preservationists have developed different emulation practices for particular kinds of "emulation encounters" in supporting different types of access. I discuss the implications of these findings for digital preservation research and emulation initiatives providing access to software or software-dependent objects, showing how implications of these findings have significance for those developing software preservation workflows and building emulation capacities. These findings suggest that different emulation practices for preservation, research access, and exhibition undertaken in libraries, archives, and museums result in different forms of access to preserved software-accessing information and experiential access. In examining particular types of access, this research calls into question software emulation as a single, static preservation strategy for information institutions and challenges researchers to examine new forms of access and descriptive representation emerging from these digital preservation strategies.
    Form
    Software
  10. Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020) 0.03 
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    Abstract
    The UCLA Library reorganized its software developers into focused subteams with one, the Labs Team, dedicated to conducting experiments. In this article we describe our first attempt at conducting a software development experiment, in which we attempted to improve our digital library's search results with metadata from cloud-based image tagging services. We explore the findings and discuss the lessons learned from our first attempt at running an experiment.
  11. ¬Der Student aus dem Computer (2023) 0.02 
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    Date
    27. 1.2023 16:22:55
  12. Klarmann, S.: easydb. Flexibles Framework zum Aufbau von Metadaten- und Medien-Repositorien : Anwendungsfall: Forschungsdaten (2020) 0.02 
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    Abstract
    Präsentationsfolien zum sehr schönen Vortrag von Herrn Sebastian Klarmann (Software easydb) in der vergangenen Woche am Donnerstag zum Thema "easydb. Flexibles Framework zum Aufbau von Metadaten- und Medien-Repositorien. Anwendungsfall: Forschungsdaten" (vgl. Mail von A. Strauch an Inetbib vom 15.12.2020.
  13. Whitten, A.: ¬Ein Chip nach dem Vorbild des Gehirns (2022) 0.02 
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    Abstract
    Um die Fähigkeiten des menschlichen Gehirns nachzuahmen, optimieren Fachleute nicht nur Software, sondern auch Hardware. Nun haben Informatiker einen analogen Computerchip hergestellt, der ähnlich wie unser Denkorgan funktioniert - und extrem energieeffizient ist.
  14. Dampz, N.: ChatGPT interpretiert jetzt auch Bilder : Neue Version (2023) 0.02 
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    Abstract
    Das kalifornische Unternehmen Open AI hat eine neue Version ihres Chatbots ChatGPT vorgestellt. Auffallendste Neuerung: Die Software, die mit Künstlicher Intelligenz funktioniert und bisher auf Text ausgerichtet war, interpretiert nun auch Bilder.
  15. Leighton, T.: ChatGPT und Künstliche Intelligenz : Utopie oder Dystopie? (2023) 0.02 
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    Abstract
    Das Tool wird immer ausgefeilter; es erstellt Software und erfindet die unglaublichsten Fiktionen. Wie "klug" ist es? Wie sieht es mit den Ängsten aus? Und mit Moral?
  16. Rozas, D.; Huckle, S.: Loosen control without losing control : formalization and decentralization within commons-based peer production (2021) 0.02 
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    Abstract
    This study considers commons-based peer production (CBPP) by examining the organizational processes of the free/libre open-source software community, Drupal. It does so by exploring the sociotechnical systems that have emerged around both Drupal's development and its face-to-face communitarian events. There has been criticism of the simplistic nature of previous research into free software; this study addresses this by linking studies of CBPP with a qualitative study of Drupal's organizational processes. It focuses on the evolution of organizational structures, identifying the intertwined dynamics of formalization and decentralization, resulting in coexisting sociotechnical systems that vary in their degrees of organicity.
  17. Wiegmann, S.: Hättest du die Titanic überlebt? : Eine kurze Einführung in das Data Mining mit freier Software (2023) 0.02 
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    Abstract
    Am 10. April 1912 ging Elisabeth Walton Allen an Bord der "Titanic", um ihr Hab und Gut nach England zu holen. Eines Nachts wurde sie von ihrer aufgelösten Tante geweckt, deren Kajüte unter Wasser stand. Wie steht es um Elisabeths Chancen und hätte man selbst das Unglück damals überlebt? Das Titanic-Orakel ist eine algorithmusbasierte App, die entsprechende Prognosen aufstellt und im Rahmen des Kurses "Data Science" am Department Information der HAW Hamburg entstanden ist. Dieser Beitrag zeigt Schritt für Schritt, wie die App unter Verwendung freier Software entwickelt wurde. Code und Daten werden zur Nachnutzung bereitgestellt.
  18. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.02 
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    Date
    2. 3.2020 14:08:22
  19. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.02 
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    Source
    Spektrum der Wissenschaft. 2023, H.10, S.22-24
  20. Fagundes, P.B.; Freund, G.P.; Vital, L.P.; Monteiro de Barros, C.; Macedo, D.D.J.de: Taxonomias, ontologias e tesauros : possibilidades de contribuição para o processo de Engenharia de Requisitos (2020) 0.02 
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    Abstract
    Some of the fundamental activities of the software development process are related to the discipline of Requirements Engineering, whose objective is the discovery, analysis, documentation and verification of the requirements that will be part of the system. Requirements are the conditions or capabilities that software must have or perform to meet the users needs. The present study is being developed to propose a model of cooperation between Information Science and Requirements Engineering. Aims to present the analysis results on the possibilities of using the knowledge organization systems: taxonomies, thesauri and ontologies during the activities of Requirements Engineering: design, survey, elaboration, negotiation, specification, validation and requirements management. From the results obtained it was possible to identify in which stage of the Requirements Engineering process, each type of knowledge organization system could be used. We expect that this study put in evidence the need for new researchs and proposals to strengt the exchange between Information Science, as a science that has information as object of study, and the Requirements Engineering which has in the information the raw material to identify the informational needs of software users.

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  • a 128
  • el 35
  • m 4
  • p 3
  • x 1
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