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  1. Surfing versus Drilling for knowledge in science : When should you use your computer? When should you use your brain? (2018) 0.03 
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    Editor
    Hünenberger, P. u. O. Renn
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.02 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Stewart, A.: Sociohistorical recommendations for the reclassification of pentecostalism in the Dewey Decimal Classification system (2019) 0.02 
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    Content
    https://www.o-bib.de/article/view/5120. https://doi.org/10.5282/o-bib/2019H1S42-59.
    Source
    o-bib: Das offene Bibliotheksjournal. 6(2019) Nr.1, S.42-59
  4. Zanibbi, R.; Yuan, B.: Keyword and image-based retrieval for mathematical expressions (2011) 0.02 
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    Date
    22. 2.2017 12:53:49
  5. Danskin, A.: RDA implementation and application : British Library (2014) 0.02 
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    Source
    o-bib: Das offene Bibliotheksjournal. 1(2014) Nr.1, S.187-191
  6. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.02 
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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
  7. Kopp, O.: Google Hummingbird-Algorithmus-Update : Infos & Hintergründe (2013) 0.02 
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  8. Maaten, L. van den: Accelerating t-SNE using Tree-Based Algorithms (2014) 0.02 
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    Abstract
    The paper investigates the acceleration of t-SNE-an embedding technique that is commonly used for the visualization of high-dimensional data in scatter plots-using two tree-based algorithms. In particular, the paper develops variants of the Barnes-Hut algorithm and of the dual-tree algorithm that approximate the gradient used for learning t-SNE embeddings in O(N*logN). Our experiments show that the resulting algorithms substantially accelerate t-SNE, and that they make it possible to learn embeddings of data sets with millions of objects. Somewhat counterintuitively, the Barnes-Hut variant of t-SNE appears to outperform the dual-tree variant.
  9. Internet Privacy : eine multidisziplinäre Bestandsaufnahme / a multidisciplinary analysis: acatech STUDIE (2012) 0.02 
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    Content
    Vgl. unter: http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Publikationen/Projektberichte/acatech_STUDIE_Internet_Privacy_WEB.pdf. Enthält Auszüge aus: Capurro, R., M, Eldred u. D. Nagel: Digital Whoness: Identity, Privacy and Freedom in the Cyberworld. Frankfurt 2013. Vgl. http://www.capurro.de/floridi.html.
  10. Open MIND (2015) 0.02 
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    Date
    27. 1.2015 11:48:22
    Editor
    Metzinger, T. u.. J.M. Windt
  11. Lange, C.; Mossakowski, T.; Galinski, C.; Kutz, O.: Making heterogeneous ontologies interoperable through standardisation : a Meta Ontology Language to be standardised: Ontology Integration and Interoperability (OntoIOp) (2011) 0.01 
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  12. Stephens, O.: Introduction to OpenRefine (2014) 0.01 
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  13. Neumann. M.: HAL: Hyperspace Analogue to Language (2012) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  14. Brenndorfer, T.; Eversberg, B.: RDA in 10 einfachen Schritten (zur Katalogisierung eines Buches) (2010) 0.01 
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    Issue
    Übers. u. Kommentar: B. Eversberg.
  15. Vinyals, O.; Toshev, A.; Bengio, S.; Erhan, D.: Show and tell : a neural image caption generator (2014) 0.01 
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  16. Gómez-Pérez, A.; Corcho, O.: Ontology languages for the Semantic Web (2015) 0.01 
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  17. Sojka, P.; Lee, M.; Rehurek, R.; Hatlapatka, R.; Kucbel, M.; Bouche, T.; Goutorbe, C.; Anghelache, R.; Wojciechowski, K.: Toolset for entity and semantic associations : Final Release (2013) 0.01 
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  18. Riley, J.: Understanding metadata : what is metadata, and what is it for? (2017) 0.01 
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    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  19. Kiros, R.; Salakhutdinov, R.; Zemel, R.S.: Unifying visual-semantic embeddings with multimodal neural language models (2014) 0.01 
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  20. 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.

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