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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.17 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
    Source
    Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK
  2. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.17 
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    Content
    Präsentation anlässlich: European Conference on Data Analysis (ECDA 2014) in Bremen, Germany, July 2nd to 4th 2014, LIS-Workshop.
    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
  3. Polatscheck, K.: Elektronische Versuchung : Test des Sony Data Discman: eine digitale Konkurrenz für Taschenbücher? (1992) 0.12 
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    Object
    Data Discman
    Source
    Zeit. Nr.xx vom ???, S.22
  4. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.12 
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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].
  5. Desmarais, N.: Data preparation for electronic publications (1998) 0.10 
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    Source
    Advances in librarianship. 22(1998), S.59-75
  6. Between data science and applied data analysis : Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22-24, 2002 (2003) 0.10 
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    Series
    Studies in classification, data analysis, and knowledge organization
  7. Copeland, N.S.; Farmer, J.F.; Smith, P.A.: Data migration : a brief primer (1997) 0.10 
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    Abstract
    Describes the dynamics of data migration and provides advice on what data to extract, how to extract the data, what tools to use in planning data migration and how to test that the data transfer has been successful. Recommends that a team of diverse experts with a thorough understanding of the types of data to be converted should lead the process
    Date
    22. 2.1999 13:41:52
    Source
    Colorado libraries. 23(1997) no.4, S.22-24
  8. 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) 0.10 
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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.
  9. Swartzberg, T.: Identifying and spreading expertise : The knowledge manager's brief: to disseminate a company's data and the know-how of its staff (1999) 0.09 
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    Date
    29.11.1999 12:18:22
    Source
    International Herald Tribune. 15. Nov. 1999, S.22
  10. KDD : techniques and applications (1998) 0.09 
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    Footnote
    A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
    Theme
    Data Mining
  11. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.09 
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    Date
    15. 1.2016 19:22:28
    Source
    Linked data and user interaction: the road ahead. Eds.: Cervone, H.F. u. L.G. Svensson
  12. Frank, S.: Cataloging digital geographic data in the information infrastructure (1997) 0.09 
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    Source
    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  13. Cronin, B.: Thinking about data (2013) 0.09 
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    Date
    22. 3.2013 16:18:36
  14. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.09 
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    Date
    2. 4.2000 18:01:22
    Theme
    Data Mining
  15. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.09 
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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.
  16. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.09 
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    Date
    17. 7.2002 19:22:06
    RSWK
    Data-warehouse-Konzept / Lehrbuch
    Data mining / Lehrbuch
    Subject
    Data-warehouse-Konzept / Lehrbuch
    Data mining / Lehrbuch
    Theme
    Data Mining
  17. Moore, R.W.: Management of very large distributed shared collections (2009) 0.09 
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    Abstract
    Large scientific collections may be managed as data grids for sharing data, digital libraries for publishing data, persistent archives for preserving data, or as real-time data repositories for sensor data. Despite the multiple types of data management objectives, it is possible to build each system from generic software infrastructure. This entry examines the requirements driving the management of large data collections, the concepts on which current data management systems are based, and the current research initiatives for managing distributed data collections.
    Date
    27. 8.2011 14:22:57
  18. Fachsystematik Bremen nebst Schlüssel 1970 ff. (1970 ff) 0.09 
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    Content
    1. Agrarwissenschaften 1981. - 3. Allgemeine Geographie 2.1972. - 3a. Allgemeine Naturwissenschaften 1.1973. - 4. Allgemeine Sprachwissenschaft, Allgemeine Literaturwissenschaft 2.1971. - 6. Allgemeines. 5.1983. - 7. Anglistik 3.1976. - 8. Astronomie, Geodäsie 4.1977. - 12. bio Biologie, bcp Biochemie-Biophysik, bot Botanik, zoo Zoologie 1981. - 13. Bremensien 3.1983. - 13a. Buch- und Bibliothekswesen 3.1975. - 14. Chemie 4.1977. - 14a. Elektrotechnik 1974. - 15 Ethnologie 2.1976. - 16,1. Geowissenschaften. Sachteil 3.1977. - 16,2. Geowissenschaften. Regionaler Teil 3.1977. - 17. Germanistik 6.1984. - 17a,1. Geschichte. Teilsystematik hil. - 17a,2. Geschichte. Teilsystematik his Neuere Geschichte. - 17a,3. Geschichte. Teilsystematik hit Neueste Geschichte. - 18. Humanbiologie 2.1983. - 19. Ingenieurwissenschaften 1974. - 20. siehe 14a. - 21. klassische Philologie 3.1977. - 22. Klinische Medizin 1975. - 23. Kunstgeschichte 2.1971. - 24. Kybernetik. 2.1975. - 25. Mathematik 3.1974. - 26. Medizin 1976. - 26a. Militärwissenschaft 1985. - 27. Musikwissenschaft 1978. - 27a. Noten 2.1974. - 28. Ozeanographie 3.1977. -29. Pädagogik 8.1985. - 30. Philosphie 3.1974. - 31. Physik 3.1974. - 33. Politik, Politische Wissenschaft, Sozialwissenschaft. Soziologie. Länderschlüssel. Register 1981. - 34. Psychologie 2.1972. - 35. Publizistik und Kommunikationswissenschaft 1985. - 36. Rechtswissenschaften 1986. - 37. Regionale Geograpgie 3.1975. - 37a. Religionswissenschaft 1970. - 38. Romanistik 3.1976. - 39. Skandinavistik 4.1985. - 40. Slavistik 1977. - 40a. Sonstige Sprachen und Literaturen 1973. - 43. Sport 4.1983. - 44. Theaterwissenschaft 1985. - 45. Theologie 2.1976. - 45a. Ur- und Frühgeschichte, Archäologie 1970. - 47. Volkskunde 1976. - 47a. Wirtschaftswissenschaften 1971 // Schlüssel: 1. Länderschlüssel 1971. - 2. Formenschlüssel (Kurzform) 1974. - 3. Personenschlüssel Literatur 5. Fassung 1968
  19. What has happened to Sony Data Discman and Mini-Disc (1996) 0.09 
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    Abstract
    Traces the initial success of the Sony Data Discman and Mini Disc 3,5 inch CD-ROM in Japan and its ultimate failure to reach a mass market as a publishing medium
    Object
    Data Discman
    Source
    Digital publisher. 1(1996) no.4, S.22-24
  20. Gabler, S.: Vergabe von DDC-Sachgruppen mittels eines Schlagwort-Thesaurus (2021) 0.08 
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    Abstract
    Vorgestellt wird die Konstruktion eines thematisch geordneten Thesaurus auf Basis der Sachschlagwörter der Gemeinsamen Normdatei (GND) unter Nutzung der darin enthaltenen DDC-Notationen. Oberste Ordnungsebene dieses Thesaurus werden die DDC-Sachgruppen der Deutschen Nationalbibliothek. Die Konstruktion des Thesaurus erfolgt regelbasiert unter der Nutzung von Linked Data Prinzipien in einem SPARQL Prozessor. Der Thesaurus dient der automatisierten Gewinnung von Metadaten aus wissenschaftlichen Publikationen mittels eines computerlinguistischen Extraktors. Hierzu werden digitale Volltexte verarbeitet. Dieser ermittelt die gefundenen Schlagwörter über Vergleich der Zeichenfolgen Benennungen im Thesaurus, ordnet die Treffer nach Relevanz im Text und gibt die zugeordne-ten Sachgruppen rangordnend zurück. Die grundlegende Annahme dabei ist, dass die gesuchte Sachgruppe unter den oberen Rängen zurückgegeben wird. In einem dreistufigen Verfahren wird die Leistungsfähigkeit des Verfahrens validiert. Hierzu wird zunächst anhand von Metadaten und Erkenntnissen einer Kurzautopsie ein Goldstandard aus Dokumenten erstellt, die im Online-Katalog der DNB abrufbar sind. Die Dokumente vertei-len sich über 14 der Sachgruppen mit einer Losgröße von jeweils 50 Dokumenten. Sämtliche Dokumente werden mit dem Extraktor erschlossen und die Ergebnisse der Kategorisierung do-kumentiert. Schließlich wird die sich daraus ergebende Retrievalleistung sowohl für eine harte (binäre) Kategorisierung als auch eine rangordnende Rückgabe der Sachgruppen beurteilt.
    Content
    Master thesis Master of Science (Library and Information Studies) (MSc), Universität Wien. Advisor: Christoph Steiner. Vgl.: https://www.researchgate.net/publication/371680244_Vergabe_von_DDC-Sachgruppen_mittels_eines_Schlagwort-Thesaurus. DOI: 10.25365/thesis.70030. Vgl. dazu die Präsentation unter: https://www.google.com/url?sa=i&rct=j&q=&esrc=s&source=web&cd=&ved=0CAIQw7AJahcKEwjwoZzzytz_AhUAAAAAHQAAAAAQAg&url=https%3A%2F%2Fwiki.dnb.de%2Fdownload%2Fattachments%2F252121510%2FDA3%2520Workshop-Gabler.pdf%3Fversion%3D1%26modificationDate%3D1671093170000%26api%3Dv2&psig=AOvVaw0szwENK1or3HevgvIDOfjx&ust=1687719410889597&opi=89978449.

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