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  1. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.19
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    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.
    Series
    Technical report; # DISI-10-050
  2. Gill, S.L.: File management and information retrieval systems : a manual for managers and technicians (1993) 0.15
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    Isbn
    1-56308-050-8
  3. Indset, A.: Quantenwirtschaft : was kommt nach der Digitalisierung? (2019) 0.11
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    Classification
    B 050
    KAB
    B 050
  4. ASIS Thesaurus of Information Science and Librarianship (1998) 0.10
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    Isbn
    1-57387-050-1
  5. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10
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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
  6. Fachsystematik Bremen nebst Schlüssel 1970 ff. (1970 ff) 0.08
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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
  7. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.08
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  8. Travis, I.L.: Knowledge-based systems in information work : a view of the future (1989) 0.08
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    Abstract
    Knowledge-based systems are part of a new generation of interrelated technologies that have the potential to expand greatly both the ways in which information is conveyed and the tools available to information workers and users for finding, evaluating, analysing, and assimilating it. These technologies can provide expanded asistance to users in such areas as reference and refferal, public access catalogue use, and end- user data base searching. KBS offers exciting possibilities; however, as yet they are only possibilities for libraries. Both further research and considerable financial resources will be required to realise the benefits of KBSs in information work.
  9. #220 0.07
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    Date
    22. 5.1998 20:02:22
  10. #1387 0.07
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    Date
    22. 5.1998 20:02:22
  11. #2103 0.07
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    Date
    22. 5.1998 20:02:22
  12. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.06
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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
  13. Dawson, H.: Using the Internet for political research : practical tips and hints (2003) 0.06
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    Isbn
    1-84334-050-X (hb)
  14. Horgan, J.: An den Grenzen des Wissens : Siegeszug und Dilemma der Naturwissenschaften (1997) 0.06
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    Classification
    N 050
    KAB
    N 050
  15. Speel, P.-H.; Schreiber, G.; Van Joolingen, W.; Van Heijst, G.; Beijer, G.: Conceptual modeling for knowledge-based systems (2002) 0.05
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    Abstract
    In this article, we presented knowledge-based system (KBS) development as a specific way of software engineering. What makes conceptual modeling for KBSs unique? STRENGTHS Knowledge-based system development is a very complex process. The approach in this article to clearly separate conceptual modeling from software implementation, which makes the process of KBS development feasible and manageable in a business environment. In addition, the knowledge model resulting from conceptual modeling is a deliverable in itself. For example, in knowledge management, knowledge mapping is a popular area in which graphical, high-level, business-focused knowledge models are delivered. Another strength is the ease of maintenance. Separating models and program code makes the process of updating more flexible. Last but not least, methodological approaches to KBS development have been matured, which provide a professional basis. Knowledge engineers start working in a similar way, and as a result exchange of work is possible and project planning is better manageable. WEAKNESSES The separation of conceptual modeling and KBS software implementation will take more time initially. However, reuse of models and code may speed up the separate processes considerably. In addition, the separate phases need different expertise; knowledge engineers with specific analytical skills should be assigned to conceptual modeling, whereas software engineers with specific programming skills should be assigned to software implementation. Finally, the various methodological approaches lack mature support tools. OPPORTUNITIES Reuse of various knowledge models as well as program code may bring several advantages, in improved quality of the KBSs as well as in speed to market. Separate development of conceptual vocabularies (also called dictionaries or ontologies), corporate memories, and generic domain models in an explicit form may form the basis of effective management of business-critical knowledge domains, which leads to sustainable competitive advantage.
  16. Li, L.X.; Xu, L.D.: Knowledge-based problem solving (2002) 0.05
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    Abstract
    Knowledge-based problem solving is a branch of artificial intelligence (AI) that has evolved in the last two decades and attempts to both capture knowledge and perform tasks that would normally require a human expert. It is a broad concept encompassing disciplines such as AI and technologies such as knowledge-based systems (KBSs). Artificial intelligence is commonly understood as a field of computer science that is concerned with the automation of human intelligent behavior (1). Westlake distinguishes three areas of AI: (1) work an solutions not thought about before, (2) problem solving that requires AI, and (3) knowledge-based problem solving (2). The last two are being applied in knowledge-based problem solving, but the first is still in the elementary stage. Also called expert systems, KBSs have been created as a result of AI research. They use domain-specific knowledge to provide high-quality solutions to the problems in a particular domain. They are made up of knowledge-based components that emulate the reasoning processes of a human expert and enable expert knowledge to be structured, coded, stored, and retrieved, and then to be extracted and used for application purposes. The relationship between knowledge-based problem solving and KBS is that knowledge-based problem-solving methods are a means of describing the reasoning process of KBS. A KBS is a problem-solving system whose architecture facilitates the usage of knowledge for problem solving in a particular problem domain. Knowledge-based systems have been applied to solve problems in the areas of medical diagnosis, mining, ecological systems management, transportation, public health, design, planning, and so on. More recently, commercial applications of KBS are widely available. A knowledge-based problem-solving approach alters the way business operates by changing the means that people traditionally use to solve business problems. For example, it provides more alternatives for business and industry to solve productivity problems and enables business and industry to reorganize and reengineer themselves to be more efficient and effective.
  17. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.05
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  18. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.05
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    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  19. Jellen, R.: Wissen ohne Relevanz : Philosophen über Leben und Technik (2015) 0.05
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    Isbn
    978-3-95788-050-5
  20. #2434 0.05
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    Date
    4. 9.2011 12:28:22

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