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  1. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.04
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
    Pages
    249 S
  2. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.04
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
    Pages
    iii, 82 S
  3. Kiren, T.: ¬A clustering based indexing technique of modularized ontologies for information retrieval (2017) 0.01
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    Date
    20. 1.2015 18:30:22
    Pages
    ix, 74 S
  4. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.00
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    Content
    Thesis submitted to the Graduate School of Natural and Applied Sciences of Middle East Technical University in partial fulfilment of the requirements for the degree of Master of science in Computer Engineering (XII, 57 S.)
    Source
    Information Systems. 37(2012) no. 4, S.294-305
  5. Seidlmayer, E.: ¬An ontology of digital objects in philosophy : an approach for practical use in research (2018) 0.00
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    Footnote
    Master thesis Library and Information Science, Fakultät für Informations- und Kommunikationswissenschaften, Technische Hochschule Köln. Schön auch: Bei Google Scholar unter 'Eva, S.' nachgewiesen.
    Pages
    64 S
  6. Onofri, A.: Concepts in context (2013) 0.00
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    Abstract
    My thesis discusses two related problems that have taken center stage in the recent literature on concepts: 1) What are the individuation conditions of concepts? Under what conditions is a concept Cv(1) the same concept as a concept Cv(2)? 2) What are the possession conditions of concepts? What conditions must be satisfied for a thinker to have a concept C? The thesis defends a novel account of concepts, which I call "pluralist-contextualist": 1) Pluralism: Different concepts have different kinds of individuation and possession conditions: some concepts are individuated more "coarsely", have less demanding possession conditions and are widely shared, while other concepts are individuated more "finely" and not shared. 2) Contextualism: When a speaker ascribes a propositional attitude to a subject S, or uses his ascription to explain/predict S's behavior, the speaker's intentions in the relevant context determine the correct individuation conditions for the concepts involved in his report. In chapters 1-3 I defend a contextualist, non-Millian theory of propositional attitude ascriptions. Then, I show how contextualism can be used to offer a novel perspective on the problem of concept individuation/possession. More specifically, I employ contextualism to provide a new, more effective argument for Fodor's "publicity principle": if contextualism is true, then certain specific concepts must be shared in order for interpersonally applicable psychological generalizations to be possible. In chapters 4-5 I raise a tension between publicity and another widely endorsed principle, the "Fregean constraint" (FC): subjects who are unaware of certain identity facts and find themselves in so-called "Frege cases" must have distinct concepts for the relevant object x. For instance: the ancient astronomers had distinct concepts (HESPERUS/PHOSPHORUS) for the same object (the planet Venus). First, I examine some leading theories of concepts and argue that they cannot meet both of our constraints at the same time. Then, I offer principled reasons to think that no theory can satisfy (FC) while also respecting publicity. (FC) appears to require a form of holism, on which a concept is individuated by its global inferential role in a subject S and can thus only be shared by someone who has exactly the same inferential dispositions as S. This explains the tension between publicity and (FC), since holism is clearly incompatible with concept shareability. To solve the tension, I suggest adopting my pluralist-contextualist proposal: concepts involved in Frege cases are holistically individuated and not public, while other concepts are more coarsely individuated and widely shared; given this "plurality" of concepts, we will then need contextual factors (speakers' intentions) to "select" the specific concepts to be employed in our intentional generalizations in the relevant contexts. In chapter 6 I develop the view further by contrasting it with some rival accounts. First, I examine a very different kind of pluralism about concepts, which has been recently defended by Daniel Weiskopf, and argue that it is insufficiently radical. Then, I consider the inferentialist accounts defended by authors like Peacocke, Rey and Jackson. Such views, I argue, are committed to an implausible picture of reference determination, on which our inferential dispositions fix the reference of our concepts: this leads to wrong predictions in all those cases of scientific disagreement where two parties have very different inferential dispositions and yet seem to refer to the same natural kind.
    Pages
    243 S
  7. Schwarz, K.: Domain model enhanced search : a comparison of taxonomy, thesaurus and ontology (2005) 0.00
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    Pages
    VI, 73 S
  8. Ziemba, L.: Information retrieval with concept discovery in digital collections for agriculture and natural resources (2011) 0.00
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    Pages
    172 S
  9. Noy, N.F.: Knowledge representation for intelligent information retrieval in experimental sciences (1997) 0.00
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    Pages
    V, 308 S
  10. Styltsvig, H.B.: Ontology-based information retrieval (2006) 0.00
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    Pages
    XVI, 180 S
  11. Tzitzikas, Y.: Collaborative ontology-based information indexing and retrieval (2002) 0.00
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    Pages
    XVI, 155 S
  12. Castellanos Ardila, J.P.: Investigation of an OSLC-domain targeting ISO 26262 : focus on the left side of the software V-model (2016) 0.00
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    Pages
    92 S
  13. Sebastian, Y.: Literature-based discovery by learning heterogeneous bibliographic information networks (2017) 0.00
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    Pages
    xix, 215 S