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  1. Pinto, F.; Fraser, M.: Access management, the key to a Portal (2003) 0.02 
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  2. 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
    Type
    a
  3. Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.02 
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    Date
    16.11.2015 18:22:47
    Type
    a
  4. Hartmann, F.: Paul Otlets Hypermedium : Dokumentation als Gegenidee zur Bibliothek (2015) 0.02 
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    Date
    22. 8.2016 15:58:46
    Type
    a
  5. Schleim, S.: Warum die Wissenschaft nicht frei ist (2017) 0.02 
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    Date
    9.10.2017 15:48:22
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  6. Rötzer, F.: Chinesischer Roboter besteht weltweit erstmals Zulassungsprüfung für Mediziner (2017) 0.02 
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    Issue
    [22. November 2017].
    Type
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  7. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.02 
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    Date
    22. 1.2018 11:08:27
    Type
    a
  8. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.02 
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    Date
    19. 2.2019 17:22:00
    Type
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  9. Hauff-Hartig, S.: Automatische Transkription von Videos : Fernsehen 3.0: Automatisierte Sentimentanalyse und Zusammenstellung von Kurzvideos mit hohem Aufregungslevel KI-generierte Metadaten: Von der Technologiebeobachtung bis zum produktiven Einsatz (2021) 0.02 
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    Date
    22. 5.2021 12:43:05
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  10. Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.02 
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    22. 5.2021 12:43:05
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  11. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.02 
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    29.12.2022 18:22:55
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  12. Rieger, F.: Lügende Computer (2023) 0.02 
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    Date
    16. 3.2023 19:22:55
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  13. Heery, R.; Patel, M.: Application profiles : mixing and matching metadata schemas (2000) 0.02 
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  14. Feinberg, M.: Hidden bias to responsible bias: an approach to information systems based on Haraway's situated knowledges (2007) 0.02 
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  15. Kuzma, M.: Are you able to find the maps you need? (2019) 0.02 
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  16. Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000) 0.02 
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    Abstract
    XML will have a profound impact on the way data is exchanged on the Internet. An important feature of this language is the separation of content from presentation, which makes it easier to select and/or reformat the data. However, due to the likelihood of numerous industry and domain specific DTDs, those who wish to integrate information will still be faced with the problem of semantic interoperability. In this paper we discuss why this problem is not solved by XML, and then discuss why the Resource Description Framework is only a partial solution. We then present the SHOE language, which we feel has many of the features necessary to enable a semantic web, and describe an existing set of tools that make it easy to use the language.
    Date
    11. 5.2013 19:22:18
    Type
    a
  17. Priss, U.: Faceted knowledge representation (1999) 0.02 
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    Abstract
    Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
    Date
    22. 1.2016 17:30:31
    Type
    a
  18. Baker, T.; Dekkers, M.; Heery, R.; Patel, M.; Salokhe, G.: What Terms Does Your Metadata Use? : Application Profiles as Machine-Understandable Narratives (2002) 0.02 
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  19. Mühlbauer, P.: Upload in Computer klappt . (2018) 0.02 
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    Content
    Vgl. auch: URL: http://www.heise.de/-3962785. Vgl. auch: https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnx3d25pcDIwMTd8Z3g6NDQ3YjZhZTZiYWJiNDI5NA. Vgl. auch: Volker Henn, V.: Synthetisches Leben: auf dem Weg zum biologischen Betriebssystem [eBook]. Hannover: Heise Medien 2014. ISBN (epub) 978-3-944099-23-1.
    Date
    12. 2.2018 15:22:19
    Type
    a
  20. Priss, U.: Description logic and faceted knowledge representation (1999) 0.02 
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    Abstract
    The term "facet" was introduced into the field of library classification systems by Ranganathan in the 1930's [Ranganathan, 1962]. A facet is a viewpoint or aspect. In contrast to traditional classification systems, faceted systems are modular in that a domain is analyzed in terms of baseline facets which are then synthesized. In this paper, the term "facet" is used in a broader meaning. Facets can describe different aspects on the same level of abstraction or the same aspect on different levels of abstraction. The notion of facets is related to database views, multicontexts and conceptual scaling in formal concept analysis [Ganter and Wille, 1999], polymorphism in object-oriented design, aspect-oriented programming, views and contexts in description logic and semantic networks. This paper presents a definition of facets in terms of faceted knowledge representation that incorporates the traditional narrower notion of facets and potentially facilitates translation between different knowledge representation formalisms. A goal of this approach is a modular, machine-aided knowledge base design mechanism. A possible application is faceted thesaurus construction for information retrieval and data mining. Reasoning complexity depends on the size of the modules (facets). A more general analysis of complexity will be left for future research.
    Date
    22. 1.2016 17:30:31
    Type
    a

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