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  1. McGarry, D.: Report from the section on classification and indexing : 1991-1992 (1992) 0.05
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  2. Grötschel, M.; Lügger, J.; Sperber, W.: Wissenschaftliches Publizieren und elektronische Fachinformation im Umbruch : ein Situationsbericht aus der Sicht der Mathematik (1993) 0.04
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    Series
    Technical report; TR 93-4
  3. 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
  4. Robertson, S.E.: OKAPI at TREC (1994) 0.03
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    Series
    BLRD report; 6134
  5. Robertson, S.E.: OKAPI at TREC-1 (1994) 0.03
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    Series
    BLRD report; 6135
  6. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.03
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  7. Robertson, S.E.: OKAPI at TREC-3 (1995) 0.02
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    Series
    BLRD report; 6209
  8. Lehmann, F.: Semiosis complicates high-level ontology (2000) 0.02
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    Abstract
    For automated question-answering, natural-language understanding, semantic integration of different databases/standards/thesauri/etc., you need a big complicated ontology of concepts and a logical language to combine them. Cyc (www.cyc.com) is such a system. It's good for your upper ontology to be systematic and clear, One way is to have a small number of well-defined distinctions at the top, by which all more specific concepts are partitioned. This is a system of "factors", or "facets" in Ranganathan's sense Iyer 1995) much like Aristotle's "differentia" in his "categories", as promoted in John Sowa's "ontological crystal". Practical considerations have driven Cyc's builders to mess up the neatness of such upper divisions. In particular, the simplicity of some very high "factors" is confounded, for practical use, by the occurrence in our world of semiosis and representation This talk will report on some of our experiences
  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) 0.02
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    Abstract
    Digital cultural heritage resources are widely available on the web through the digital libraries of heritage institutions. To address the difficulties of discoverability in cultural heritage, the common practice is metadata aggregation, where centralized efforts like Europeana facilitate discoverability by collecting the resources' metadata. We present the results of the linked data aggregation task conducted within the Europeana Common Culture project, which attempted an innovative approach to aggregation based on linked data made available by cultural heritage institutions. This task ran for one year with participation of eleven organizations, involving the three member roles of the Europeana network: data providers, intermediary aggregators, and the central aggregation hub, Europeana. We report on the challenges that were faced by data providers, the standards and specifications applied, and the resulting aggregated metadata.
  10. Wätjen, H.-J.: Mensch oder Maschine? : Auswahl und Erschließung vonm Informationsressourcen im Internet (1996) 0.02
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    Date
    2. 2.1996 15:40:22
  11. 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) 0.01
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    Date
    23.11.2023 19:07:22