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  1. Jaenecke, P.: Knowledge organization due to theory formation (1995) 0.05 
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    Abstract
    Theory formation is regarded as a process of domain-internal knowledge organization. Misunderstandings about the concept 'theory' are explained. A theory is considered as a systematical representation of a domain realized by three closely related theory-forming actions: establishment of a suitable system of basic concepts, ordering of the experience or given experimental results, synthesizing of conflicting hypotheses. In this view, theory formation means an ambitious kind of knowledge representation. Its consequences are summarized and its importance for the human sciences and for society is emphasized
    Date
    29. 3.1996 17:26:47
  2. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.02 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.01 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  4. Elazar, D.H.: ¬The making of a classification scheme for libraries of Judaica (2000) 0.01 
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    Date
    1.11.2000 14:55:29
  5. Hobohm, H.-C.: Zensur in der Digitalität - eine Überwindung der Moderne? : Die Rolle der Bibliotheken (2020) 0.01 
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    Content
    Beitrag zur Tagung: "Nationalsozialismus Digital. Die Verantwortung von Bibliotheken, Archiven und Museen sowie Forschungseinrichtungen und Medien im Umgang mit der NSZeit im Netz." Österreichische Nationalbibliothek, Universität Wien, 27. - 29. November 2019
  6. Wätjen, H.-J.: Mensch oder Maschine? : Auswahl und Erschließung vonm Informationsressourcen im Internet (1996) 0.01 
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    Date
    2. 2.1996 15:40:22
  7. Guizzardi, G.; Guarino, N.: Semantics, ontology and explanation (2023) 0.01 
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    Abstract
    The terms 'semantics' and 'ontology' are increasingly appearing together with 'explanation', not only in the scientific literature, but also in organizational communication. However, all of these terms are also being significantly overloaded. In this paper, we discuss their strong relation under particular interpretations. Specifically, we discuss a notion of explanation termed ontological unpacking, which aims at explaining symbolic domain descriptions (conceptual models, knowledge graphs, logical specifications) by revealing their ontological commitment in terms of their assumed truthmakers, i.e., the entities in one's ontology that make the propositions in those descriptions true. To illustrate this idea, we employ an ontological theory of relations to explain (by revealing the hidden semantics of) a very simple symbolic model encoded in the standard modeling language UML. We also discuss the essential role played by ontology-driven conceptual models (resulting from this form of explanation processes) in properly supporting semantic interoperability tasks. Finally, we discuss the relation between ontological unpacking and other forms of explanation in philosophy and science, as well as in the area of Artificial Intelligence.
  8. Schöneberg, U.; Gödert, W.: Erschließung mathematischer Publikationen mittels linguistischer Verfahren (2012) 0.00 
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    Date
    12. 9.2013 12:29:05
  9. Isaac, A.; Raemy, J.A.; Meijers, E.; Valk, S. De; Freire, N.: Metadata aggregation via linked data : results of the Europeana Common Culture project (2020) 0.00 
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    Date
    17.11.2020 11:29:00
  10. Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.00 
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    Date
    23.11.2023 19:07:22

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