Search (77 results, page 1 of 4)

Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.03

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Date: 22. 2.2017 12:53:49

Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017) 0.02

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Date: 22. 4.2017 10:42:05
22. 4.2017 10:48:38

Moebius, R.: ¬Die Zitiercommunity (2019) 0.01

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Mausfeld, R.; Schreyer, P.: "Wir leben in einer Zeit der Gegenaufklärung" : Interview (2018) 0.01

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Content: Bezugnahme auf das Buch: Mausfeld, R.: Warum schweigen die Lämmer? Wie Elitendemokratie und Neoliberalismus unsere Gesellschaft und unsere Lebensgrundlagen zerstören. Frankfurt: Westend Verlag 2018, 304 S.

Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.01

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Date: 22. 2.2017 12:51:57

Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.01

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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

Reuß, R.: ¬Der Geist gehört dem Staat : Open Access (2015) 0.01

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Ball, R.: Digitale Disruption (2016) 0.01

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Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01
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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.

Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.01

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Date: 16.11.2015 18:22:47

Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01

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Date: 17.12.2013 11:02:22

Hartmann, F.: Paul Otlets Hypermedium : Dokumentation als Gegenidee zur Bibliothek (2015) 0.01

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Date: 22. 8.2016 15:58:46

Schleim, S.: Warum die Wissenschaft nicht frei ist (2017) 0.01

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Date: 9.10.2017 15:48:22

Rötzer, F.: Chinesischer Roboter besteht weltweit erstmals Zulassungsprüfung für Mediziner (2017) 0.01

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Issue: [22. November 2017].

Landwehr, A.: China schafft digitales Punktesystem für den "besseren" Menschen (2018) 0.01

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Date: 22. 6.2018 14:29:46

Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.01

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Date: 22. 1.2018 11:08:27

Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01

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Date: 19. 2.2019 17:22:00

Kiros, R.; Salakhutdinov, R.; Zemel, R.S.: Unifying visual-semantic embeddings with multimodal neural language models (2014) 0.01

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Gayathri, R.; Uma, V.: Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning : a survey (2018) 0.01
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Abstract

Knowledge Representation and Reasoning (KR & R) has become one of the promising fields of Artificial Intelligence. KR is dedicated towards representing information about the domain that can be utilized in path planning. Ontology based knowledge representation and reasoning techniques provide sophisticated knowledge about the environment for processing tasks or methods. Ontology helps in representing the knowledge about environment, events and actions that help in path planning and making robots more autonomous. Knowledge reasoning techniques can infer new conclusion and thus aids planning dynamically in a non-deterministic environment. In the initial sections, the representation of knowledge using ontology and the techniques for reasoning that could contribute in path planning are discussed in detail. In the following section, we also provide comparison of various planning domain modeling languages, ontology editors, planners and robot simulation tools.

Denton, W.: On dentographs, a new method of visualizing library collections (2012) 0.01

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Abstract: A dentograph is a visualization of a library's collection built on the idea that a classification scheme is a mathematical function mapping one set of things (books or the universe of knowledge) onto another (a set of numbers and letters). Dentographs can visualize aspects of just one collection or can be used to compare two or more collections. This article describes how to build them, with examples and code using Ruby and R, and discusses some problems and future directions.

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