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Hofstadter, D.: Artificial neural networks today are not conscious (2022)
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- Content
- Vgl. auch: Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness..
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Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness (2022)
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Jansen, B.; Browne, G.M.: Navigating information spaces : index / mind map / topic map? (2021)
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Williams, B.: Dimensions & VOSViewer bibliometrics in the reference interview (2020)
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Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022)
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Tay, A.: ¬The next generation discovery citation indexes : a review of the landscape in 2020 (2020)
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- Date
- 17.11.2020 12:22:59
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Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020)
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Brown, T.B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; Amodei, D.: Language models are few-shot learners (2020)
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Patriarca, S.: Information literacy gives us the tools to check sources and to verify factual statements : What does Popper`s "Es gibt keine Autoritäten" mean? (2021)
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- Footnote
- Vgl. die Erwiderung: Jörs, B.: Informationskompetenz ist auf domänenspezifisches Vorwissen angewiesen und kann immer nur vorläufig sein: eine Antwort auf Steve Patriarca. Unter: Open Password. 2021, Nr.998 vom 15. November 2021 [https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzM3NiwiYTRlYWIxNTJhOTU4IiwwLDAsMzM5LDFd].
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Pankowski, T.: Ontological databases with faceted queries (2022)
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- Abstract
- The success of the use of ontology-based systems depends on efficient and user-friendly methods of formulating queries against the ontology. We propose a method to query a class of ontologies, called facet ontologies ( fac-ontologies ), using a faceted human-oriented approach. A fac-ontology has two important features: (a) a hierarchical view of it can be defined as a nested facet over this ontology and the view can be used as a faceted interface to create queries and to explore the ontology; (b) the ontology can be converted into an ontological database , the ABox of which is stored in a database, and the faceted queries are evaluated against this database. We show that the proposed faceted interface makes it possible to formulate queries that are semantically equivalent to $${\mathcal {SROIQ}}^{Fac}$$ SROIQ Fac , a limited version of the $${\mathcal {SROIQ}}$$ SROIQ description logic. The TBox of a fac-ontology is divided into a set of rules defining intensional predicates and a set of constraint rules to be satisfied by the database. We identify a class of so-called reflexive weak cycles in a set of constraint rules and propose a method to deal with them in the chase procedure. The considerations are illustrated with solutions implemented in the DAFO system ( data access based on faceted queries over ontologies ).
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Hobert, A.; Jahn, N.; Mayr, P.; Schmidt, B.; Taubert, N.: Open access uptake in Germany 2010-2018 : adoption in a diverse research landscape (2021)
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DeSilva, J.M.; Traniello, J.F.A.; Claxton, A.G.; Fannin, L.D.: When and why did human brains decrease in size? : a new change-point analysis and insights from brain evolution in ants (2021)
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- Source
- Frontiers in ecology and evolution, 22 October 2021 [https://www.frontiersin.org/articles/10.3389/fevo.2021.742639/full]
