-
Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015)
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- Date
- 22. 2.2017 12:51:57
-
Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008)
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- Date
- 28.11.2016 12:43:22
- Source
- http://www.personal.psu.edu/faculty/f/u/fuf1/hermeneus/Hermeneus_architecture.pdf
-
Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978)
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- https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
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Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018)
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- Date
- 16.11.2018 14:22:01
-
Pinto, F.; Fraser, M.: Access management, the key to a Portal (2003)
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-
Soergel, D.; Lauser, B.; Liang, A.; Fisseha, F.; Keizer, J.; Katz, S.: Reengineering thesauri for new applications : the AGROVOC example (2004)
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-
Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001)
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- Date
- 22. 7.2006 15:22:28
-
Dunning, A.: Do we still need search engines? (1999)
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- Source
- Ariadne. 1999, no.22
-
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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- Footnote
- Vgl. auch: Rötzer, F.: Warum schrumpft das Gehirn des Menschen seit ein paar Tausend Jahren? Unter: https://krass-und-konkret.de/wissenschaft-technik/warum-schrumpft-das-gehirn-des-menschen-seit-ein-paar-tausend-jahren/. "... seit einigen tausend Jahren - manche sagen seit 10.000 Jahren -, also nach dem Beginn der Landwirtschaft, der Sesshaftigkeit und der Stadtgründungen sowie der Erfindung der Schrift schrumpfte das menschliche Gehirn überraschenderweise wieder. ... Allgemein wird davon ausgegangen, dass mit den ersten Werkzeugen und vor allem beginnend mit der Erfindung der Schrift kognitive Funktionen, vor allem das Gedächtnis externalisiert wurden, allerdings um den Preis, neue Kapazitäten entwickeln zu müssen, beispielsweise Lesen und Schreiben. Gedächtnis beinhaltet individuelle Erfahrungen, aber auch kollektives Wissen, an dem alle Mitglieder einer Gemeinschaft mitwirken und in das das Wissen sowie die Erfahrungen der Vorfahren eingeschrieben sind. Im digitalen Zeitalter ist die Externalisierung und Entlastung der Gehirne noch sehr viel weitgehender, weil etwa mit KI nicht nur Wissensinhalte, sondern auch kognitive Fähigkeiten wie das Suchen, Sammeln, Analysieren und Auswerten von Informationen zur Entscheidungsfindung externalisiert werden, während die externalisierten Gehirne wie das Internet kollektiv in Echtzeit lernen und sich erweitern. Über Neuimplantate könnten schließlich Menschen direkt an die externalisierten Gehirne angeschlossen werden, aber auch direkt ihre kognitiven Kapazitäten erweitern, indem Prothesen, neue Sensoren oder Maschinen/Roboter auch in der Ferne in den ergänzten Körper der Gehirne aufgenommen werden.
- Source
- Frontiers in ecology and evolution, 22 October 2021 [https://www.frontiersin.org/articles/10.3389/fevo.2021.742639/full]
-
Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001)
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- Date
- 24. 8.2005 19:20:22
-
Assem, M. van; Rijgersberg, H.; Wigham, M.; Top, J.: Converting and annotating quantitative data tables (2010)
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- Abstract
- Companies, governmental agencies and scientists produce a large amount of quantitative (research) data, consisting of measurements ranging from e.g. the surface temperatures of an ocean to the viscosity of a sample of mayonnaise. Such measurements are stored in tables in e.g. spreadsheet files and research reports. To integrate and reuse such data, it is necessary to have a semantic description of the data. However, the notation used is often ambiguous, making automatic interpretation and conversion to RDF or other suitable format diffiult. For example, the table header cell "f(Hz)" refers to frequency measured in Hertz, but the symbol "f" can also refer to the unit farad or the quantities force or luminous flux. Current annotation tools for this task either work on less ambiguous data or perform a more limited task. We introduce new disambiguation strategies based on an ontology, which allows to improve performance on "sloppy" datasets not yet targeted by existing systems.
- Source
- The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. Eds.: Peter F. Patel-Schneider et al
-
Celik, I.; Abel, F.; Siehndel, P.: Adaptive faceted search on Twitter (2011)
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-
Wattenberg, M.; Viégas, F.; Johnson, I.: How to use t-SNE effectively (2016)
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-
Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011)
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- Content
- Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
- Date
- 22. 2.2017 13:00:42
-
Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004)
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- Source
- Proceedings of the 3rd International Semantic Web Conference (ISWC'04). Eds. D. Plexousakis and F. van Harmelen
-
Bartol, W.; Pióro, K.; Rosselló, F.: On the coverings by tolerance classes (2003)
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-
Frey, J.; Streitmatter, D.; Götz, F.; Hellmann, S.; Arndt, N.: DBpedia Archivo : a Web-Scale interface for ontology archiving under consumer-oriented aspects (2020)
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-
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012)
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- Abstract
- This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
-
Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013)
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- Date
- 17.12.2013 11:02:22
-
Buckland, M.; Chen, A.; Chen, H.M.; Kim, Y.; Lam, B.; Larson, R.; Norgard, B.; Purat, J.; Gey, F.: Mapping entry vocabulary to unfamiliar metadata vocabularies (1999)
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