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  • × year_i:[2010 TO 2020}
  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.10
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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
  2. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.08
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    Abstract
    On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
    Type
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  3. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.07
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    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
    Type
    m
  4. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.06
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    Abstract
    While classifications are heavily used to categorize web content, the evolution of the web foresees a more formal structure - ontology - which can serve this purpose. Ontologies are core artifacts of the Semantic Web which enable machines to use inference rules to conduct automated reasoning on data. Lightweight ontologies bridge the gap between classifications and ontologies. A lightweight ontology (LO) is an ontology representing a backbone taxonomy where the concept of the child node is more specific than the concept of the parent node. Formal lightweight ontologies can be generated from their informal ones. The key applications of formal lightweight ontologies are document classification, semantic search, and data integration. However, these applications suffer from the following problems: the disambiguation accuracy of the state of the art NLP tools used in generating formal lightweight ontologies from their informal ones; the lack of background knowledge needed for the formal lightweight ontologies; and the limitation of ontology reuse. In this dissertation, we propose a novel solution to these problems in formal lightweight ontologies; namely, faceted lightweight ontology (FLO). FLO is a lightweight ontology in which terms, present in each node label, and their concepts, are available in the background knowledge (BK), which is organized as a set of facets. A facet can be defined as a distinctive property of the groups of concepts that can help in differentiating one group from another. Background knowledge can be defined as a subset of a knowledge base, such as WordNet, and often represents a specific domain.
    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  5. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.06
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    Date
    15. 1.2016 19:22:28
    Type
    a
  6. Hauer, M.: Tiefenindexierung im Bibliothekskatalog : 17 Jahre intelligentCAPTURE (2019) 0.06
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    Source
    B.I.T.online. 22(2019) H.2, S.163-166
    Type
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  7. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.06
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
    Location
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    Type
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  8. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.05
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  9. Burghardt, M.; Hertlein, F.; Hinterleitner, B.; Lehenmeier, C.; Spröd, T.: ¬A crowdsourced approach for the documentation and transcription of graffiti in public restrooms (2015) 0.05
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    Date
    6. 6.2016 18:42:22
    Type
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  10. Burghardt, M.; Wolff, C.; Womser-Hacker, C.: Informationsinfrastruktur und informationswissenschaftliche Methoden in den digitalen Geisteswissenschaften (2015) 0.05
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    Date
    6.12.2015 17:22:08
    Type
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  11. Pobar, M. et al.: Multimodal image retrieval based on keywords and low-level image features (2016) 0.05
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    Date
    1. 2.2016 18:25:22
    Type
    a
  12. Mora-Mcginity, M. et al.: MusicWeb: music discovery with open linked semantic metadata (2016) 0.05
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
    Type
    a
  13. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.05
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
    Type
    a
  14. Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018) 0.05
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    Abstract
    Converting UDC numbers manually to a complex format such as the one mentioned above is an unrealistic expectation; supporting building these representations, as far as possible automatically, is a well-founded requirement. An additional advantage of this approach is that the existing records could also be processed and converted. In my dissertation I would like to prove also that it is possible to design and implement an algorithm that is able to convert pre-coordinated UDC numbers into the introduced format by identifying all their elements and revealing their whole syntactic structure as well. In my dissertation I will discuss a feasible way of building a UDC-specific XML schema for describing the most detailed and complicated UDC numbers (containing not only the common auxiliary signs and numbers, but also the different types of special auxiliaries). The schema definition is available online at: http://piros.udc-interpreter.hu#xsd. The primary goal of my research is to prove that it is possible to support building, retrieving, and analyzing UDC numbers without compromises, by taking the whole syntactic richness of the scheme by storing the UDC numbers reserving the meaning of pre-coordination. The research has also included the implementation of a software that parses UDC classmarks attended to prove that such solution can be applied automatically without any additional effort or even retrospectively on existing collections.
    Content
    Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>
  15. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.05
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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
    Type
    a
  16. Kattenbeck, M.; Müller, M.; Ohm, C.; Ludwig, B.: ¬Der Weg ist das Ziel : Fußgängernavigation ist Forschung zu Information Behavior (2015) 0.05
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    Date
    21. 3.2015 18:13:22
    Type
    a
  17. Swigon, M.: Information limits : definition, typology and types (2011) 0.04
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    Abstract
    Purpose - This paper seeks to organize the extensive field and to compile the complete list of information limits. Design/methodology/approach - A thorough analysis of literature from the field beginning with the 1960s up to the present has been performed. Findings - A universal typology of information limits has been proposed. A list of barriers mentioned in the literature of the subject has been compiled. Research limitations/implications - The term "information limits" is not commonly used. Originality/value - The complete list of information limits with bibliographical hints (helpful for future research) is presented.
    Date
    12. 7.2011 18:22:52
    Type
    a
  18. Aslanidi, M.; Papadakis, I.; Stefanidakis, M.: Name and title authorities in the music domain : alignment of UNIMARC authorities format with RDA (2018) 0.04
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    Abstract
    This article discusses and highlights alignment issues that arise between UNIMARC Authorities Format and Resource Description and Access (RDA) regarding the creation of name and title authorities for musical works and creators. More specifically, RDA, as an implementation of the FRAD model, is compared with the UNIMARC Authorities Format (Updates 2012 and 2016) in an effort to highlight various cases where the discovery of equivalent fields between the two standards is not obvious. The study is envisioned as a first step in an ongoing process of working with the UNIMARC community throughout RDA's advancement and progression regarding the entities [musical] Work and Names.
    Date
    19. 3.2019 12:17:22
    Type
    a
  19. Kaiser, R.; Ockenfeld, M.; Skurcz, N.: Wann versteht mich mein Computer endlich? : 1. DGI-Konfernz: Semantic Web & Linked Data - Elemente zukünftiger Informationsinfrastrukturen (2011) 0.04
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    Source
    BuB. 63(2011) H.1, S.22-23
    Type
    a
  20. Schreiber, M.: Uncertainties and ambiguities in percentiles and how to avoid them (2013) 0.04
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    Date
    22. 3.2013 19:52:05
    Type
    a

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