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  1. Mattke, S.: Neuronales Netz von Google übertrifft Menschen bei der Ortsbestimmung von Fotos (2016) 0.24 
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    Content
    Bezugnahme auf: http://www.heise.de/tr/artikel/Neuronales-Netz-mit-uebermenschlichen-Faehigkeiten-3117954.html.
    Source
    http://www.heise.de/newsticker/meldung/Neuronales-Netz-von-Google-uebertrifft-Menschen-bei-der-Ortsbestimmung-von-Fotos-3117960.html?view=print
  2. Becker, R.: Machine / Deep Learning : wie lernen künstliche neuronale Netze? (2017) 0.21 
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    Abstract
    Ein wichtiges Merkmal von Systemen mit künstlicher Intelligenz ist die Fähigkeit, selbständig zu lernen. Anders als bei klassischer Software, die Probleme und Fragen auf Basis von vorher festgelegten Regeln abarbeitet, können selbstlernende Machine Learning Algorithmen die besten Regeln für die Lösung bestimmter Aufgaben selber lernen. In diesem Artikel wird am Beispiel von künstlichen neuronalen Netzen erklärt, was "lernen" in diesem Zusammenhang heißt, und wie es funktioniert. Ein künstliches neuronales Netz besteht aus vielen einzelnen Neuronen, die meistens in mehreren miteinander verbundenen Schichten (Layern) angeordnet sind. Die Zahl der Layer bestimmt unter anderem den Grad der Komplexität, den ein künstliches neuronales Netz abbilden kann. Viele Layer machen ein neuronales Netz "tief" - daher spricht man in diesem Zusammenhang auch vom Deep Learning als einer Unterkategorie des Machine Learning (Maschinenlernen bzw. maschinelles lernen).
  3. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.18 
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  4. Neuronales Netz mit "übermenschlichen" Fähigkeiten (2016) 0.18 
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    Content
    Vgl. auch: Mattke, S.: Neuronales Netz von Google übertrifft Menschen bei der Ortsbestimmung von Fotos.
    Source
    http://www.heise.de/tr/artikel/Neuronales-Netz-mit-uebermenschlichen-Faehigkeiten-3117954.html?view=print [Technology review]
  5. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.15 
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  6. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.09 
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    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
  7. Lehmann, K.: Neues vom Gehirn : Essays zu Erkenntnissen der Neurobiologie (2017) 0.07 
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    Abstract
    Eine Lawine von Wissensbrocken prasselt hernieder, die unser Verständnis von uns selbst enorm erweitern können. Man muss sie nur passend zusammensetzen. Die raffinierten modernen Methoden der Neurobiologie lassen uns verstehen und sogar berechnen, was uns zum Handeln antreibt: Wie der Wert eines Handlungsziels neuronal kodiert wird, wo und woraus dieser Wert abgeschätzt wird, und warum auch Information einen Wert hat. Sie zeigen auch, wie das gewonnene Wissen im Gehirn gespeichert wird: Wie Wissen über räumliche Zusammenhänge abgespeichert wird. Oder: Welche Wege das neuronale Netz gefunden hat, um zeitlich oder örtlich begrenzt die Lernfähigkeit zu erhöhen, während andererseits Stabilität gewährleistet wird. Denn auch wenn Flexibilität und Plastizität nützliche Fähigkeiten sind: Ebenso wichtig kann es sein, einmal optimierte Verschaltungen zu bewahren. Die Verschiebung des Gleichgewichts zwischen erregenden und hemmenden Nervenzellen ist ein Regler, um diese Grenze zu ziehen. Die Einbringung neuer Nervenzellen ein anderer. Und wenn die neuen Zellen künstlich eingebracht werden, können sich die beiden Regler sogar verbinden. Sogar den großen Fragen widmet sich die aktuelle Hirnforschung mit großem Gewinn. Wir verstehen zunehmend, was den Menschen zum Menschen macht: Soziale Fähigkeiten wie Empathie, Sprache und Musik, die ihn von seinen nächsten Verwandten im Tierreich unterscheiden (und erstaunlicherweise den Vögeln ähnlich macht). Wie das Gehirn kreativ die Gedanken und Bilder hervorbringt, aus denen Kunst und auch Wissenschaft werden, wird begreiflich. Wir sehen mit Staunen, dass die individuelle Persönlichkeit nicht allein im Gehirn steckt, sondern auch im Gedärm. Und können uns sogar der letzten Grenze nähern: der Frage nach dem Bewusstsein. Dr. Konrad Lehmann forscht und lehrt als Neurobiologe an der Friedrich Schiller-Universität Jena. Sein Forschungsschwerpunkt ist die Fähigkeit der Hirnrinde, sich an veränderte Umweltbedingungen anzupassen.
    Content
    - Was wollen wir tun? Warum nicht einfach aufgeben? -- Das war schön! Nochmal! -- Warum wollen Sie diesen Artikel lesen? -- Einsamkeit ist ein Grundgefühl -- Das mütterliche Gehirn - Was können wir wissen? Wie entsteht Wissen? -- Was Hirnchen nicht lernt ... -- Schlaf, der Gedächtnisgärtner -- Unser Gehirn kartiert auch Beziehungen räumlich -- Die leuchtende Spur der Erinnerung -- Neuronales Upgrade -- Warum erzeugt das Gehirn neue Neuronen? -- Frischzellen fürs Gehirn - Was ist der Mensch? Gleichgeschaltete Meisen -- Von wegen: "Spatzenhirn" -- Ich verdaue, also bin ich -- Ideen aus dem neuronalen Untergrund -- Homo musicus - Was können wir hoffen? Denken mit Leib und Seele
  8. Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.04 
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    Abstract
    We present a short survey of the literature on indexing and retrieval of mathematical knowledge, with pointers to 72 papers and tentative taxonomies of both retrieval problems and recurring techniques.
    Date
    22. 2.2017 12:51:57
  9. Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.04 
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    Abstract
    One vision of the Semantic Web is that it will be much like the Web we know today, except that documents will be enriched by annotations in machine understandable markup. These annotations will provide metadata about the documents as well as machine interpretable statements capturing some of the meaning of document content. We discuss how the information retrieval paradigm might be recast in such an environment. We suggest that retrieval can be tightly bound to inference. Doing so makes today's Web search engines useful to Semantic Web inference engines, and causes improvements in either retrieval or inference to lead directly to improvements in the other.
    Date
    12. 2.2011 17:35:22
  10. Reiner, U.: Automatische DDC-Klassifizierung von bibliografischen Titeldatensätzen (2009) 0.03 
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    Date
    22. 8.2009 12:54:24
    Theme
    Klassifikationssysteme im Online-Retrieval
  11. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.03 
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    Abstract
    The design and architecture of MIaS (Math Indexer and Searcher), a system for mathematics retrieval is presented, and design decisions are discussed. We argue for an approach based on Presentation MathML using a similarity of math subformulae. The system was implemented as a math-aware search engine based on the state-ofthe-art system Apache Lucene. Scalability issues were checked against more than 400,000 arXiv documents with 158 million mathematical formulae. Almost three billion MathML subformulae were indexed using a Solr-compatible Lucene.
    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
  12. Krüger, N.; Pianos, T.: Lernmaterialien für junge Forschende in den Wirtschaftswissenschaften als Open Educational Resources (OER) (2021) 0.03 
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    Abstract
    Das EconBiz Academic Career Kit ist ein interaktives Online-Tutorial für den wissenschaftlichen Nachwuchs in den Wirtschaftswissenschaften. In drei Modulen geht es um die Themen: erste Veröffentlichung, Open Access, Predatory Journals und Urheberrecht - Wissenschaftskommunikation, kollaboratives Arbeiten, Networking und Metriken - Forschungsdatenmanagement. Angebote der Vermittlung von Informationskompetenz sind in diesen Feldern und für diese Zielgruppe in Deutschland noch nicht flächendeckend verbreitet. Darum - und weil Forschende sich zu diesen Fragen meist im Netz informieren - ist das Academic Career Kit als OER unter der Lizenz CC-BY veröffentlicht und damit zur Bearbeitung und Weiterverwendung durch Dritte freigegeben.
    Date
    22. 5.2021 12:43:05
  13. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.03 
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    Date
    11. 2.2011 18:22:25
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  14. Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008) 0.02 
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    Abstract
    Ontologies improve IR systems regarding its retrieval and presentation of information, which make the task of finding information more effective, efficient, and interactive. In this paper we argue that ontologies also greatly improve the engineering of such systems. We created a framework that uses ontology to drive the process of engineering an IR system. We developed a prototype that shows how a domain specialist without knowledge in the IR field can build an IR system with interactive components. The resulting system provides support for users not only to find their information needs but also to extend their state of knowledge. This way, our approach to ontology-enabled information retrieval addresses both the engineering aspect described here and also the usability aspect described elsewhere.
    Date
    28.11.2016 12:43:22
  15. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.02 
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    Abstract
    Two new methods for retrieving mathematical expressions using conventional keyword search and expression images are presented. An expression-level TF-IDF (term frequency-inverse document frequency) approach is used for keyword search, where queries and indexed expressions are represented by keywords taken from LATEX strings. TF-IDF is computed at the level of individual expressions rather than documents to increase the precision of matching. The second retrieval technique is a form of Content-Base Image Retrieval (CBIR). Expressions are segmented into connected components, and then components in the query expression and each expression in the collection are matched using contour and density features, aspect ratios, and relative positions. In an experiment using ten randomly sampled queries from a corpus of over 22,000 expressions, precision-at-k (k= 20) for the keyword-based approach was higher (keyword: µ= 84.0,s= 19.0, image-based:µ= 32.0,s= 30.7), but for a few of the queries better results were obtained using a combination of the two techniques.
    Date
    22. 2.2017 12:53:49
  16. Henrich, A.: Information Retrieval : Grundlagen, Modelle und Anwendungen (2008) 0.02 
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    Date
    22. 8.2015 21:23:08
  17. Van Dijck, P.: Introduction to XFML (2003) 0.02 
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    Source
    http://www.xml.com/lpt/a/2003/01/22/xfml.html
    Theme
    Klassifikationssysteme im Online-Retrieval
  18. Schetsche, M.: ¬Die ergoogelte Wirklichkeit : Verschwörungstheorien und das Internet (2005) 0.02 
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    Abstract
    "Zweimal täglich googeln" empfiehlt Mathias Bröckers in seinem Buch "Verschwörungen, Verschwörungstheorien und die Geheimnisse des 11.9.". Der Band gilt den gutbürgerlichen Medien von FAZ bis Spiegel als Musterbeispiel krankhafter Verschwörungstheorie. Dabei wollte der Autor - nach eigenem Bekunden - keine Verschwörungstheorie zum 11. September vorlegen, sondern lediglich auf Widersprüche und Fragwürdigkeiten in den amtlichen Darstellungen und Erklärungen der US-Regierung zu jenem Terroranschlag hinweisen. Unabhängig davon, wie ernst diese Einlassungen des Autors zu nehmen sind, ist der "Fall Bröckers" für die Erforschung von Verschwörungstheorien unter zwei Aspekten interessant: Erstens geht der Band auf ein [[extern] ] konspirologisches Tagebuch zurück, das der Autor zwischen dem 13. September 2001 und dem 22. März 2002 für das Online-Magazin Telepolis verfasst hat; zweitens behauptet Bröckers in der Einleitung zum Buch, dass er für seine Arbeit ausschließlich über das Netz zugängliche Quellen genutzt habe. Hierbei hätte ihm Google unverzichtbare Dienste geleistet: Um an die Informationen in diesem Buch zu kommen, musste ich weder über besondere Beziehungen verfügen, noch mich mit Schlapphüten und Turbanträgern zu klandestinen Treffen verabreden - alle Quellen liegen offen. Sie zu finden, leistete mir die Internet-Suchmaschine Google unschätzbare Dienste. Mathias Bröckers
  19. 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
  20. Information retrieval research : Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, Aberdeen, Scotland, 8-9 April 1997 (1997) 0.02 
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    LCSH
    Information storage and retrieval systems / Research / Congresses
    Information retrieval / Research / Congresses
    RSWK
    Information retrieval / Kongress / Aberdeen <1997>
    Subject
    Information storage and retrieval systems / Research / Congresses
    Information retrieval / Research / Congresses
    Information retrieval / Kongress / Aberdeen <1997>

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