Search (38391 results, page 2 of 1920)

  1. Rath-Beckmann, A.: Retrospektive Katalogkonversion (1986) 0.10
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  2. Wehmeyer, A.: Katalogkonversion: erste Schritte (1992) 0.10
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  3. O'Rourke, V.: Selection of an online public access catalog : a checklist approach (1987) 0.10
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    Source
    Information technology and libraries. 6(1987), S.278-287
    Type
    a
  4. Conspectus und Europa (1990) 0.10
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    Type
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  5. Kaske, N.K.: ¬The variability and intensity over time of subject searching in an online public access catalog (1988) 0.10
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    Source
    Information technology and libraries. 7(1988), S.273-287
    Type
    a
  6. Jungjohann, G.: Einführung rationeller Verfahren bei der Herstellung von Katalogzetteln und Listen (1970) 0.10
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    Source
    Bibliotheksdienst. 4(1970), S.287-291
    Type
    a
  7. Tibbo, H.R.: Information systems, services, and technology for the humanities (1991) 0.10
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    Source
    Annual review of information science and technology. 26(1991), S.287-346
    Type
    a
  8. Dunlop, M.D.; Rijsbergen, C.J. van: Hypermedia and free text retrieval (1993) 0.10
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    Source
    Information processing and management. 29(1993) no.3, S.287-298
    Type
    a
  9. Sichel, B.: Training endusers on MathSci disc (1991) 0.10
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    Source
    Special libraries. 82(1991) no.4, S.282-287
    Type
    a
  10. Scharmann, U.: Anwendung der Regeln für den Schlagwortkatalog (RSWK) in öffentlichen Bibliotheken. Abschlußbericht zum dbi-Projekt 11.35 (1989) 0.10
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    Classification
    Bib A 391 / Schlagwortkatalog
    Bib B 91 / Sacherschließung
    Date
    22. 5.2007 12:07:51
    SBB
    Bib A 391 / Schlagwortkatalog
    Bib B 91 / Sacherschließung
  11. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.10
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    Abstract
    The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
    This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.
    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.
  12. Scheven, E.: Geokoordinaten in Bibliotheksdaten : Grundlage für innovative Nachnutzung (2015) 0.10
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    Content
    Vgl.: http://dx.doi.org/10.5282/o-bib/2015H1.
    Date
    16.11.2015 18:22:47
    Source
    o-bib: Das offene Bibliotheksjournal. 2(2015) Nr.1, S.15-26
    Type
    a
  13. Rieger, W.: SGML für die Praxis : Ansatz und Einsatz von ISO 8879; mit einer Einführung in HTML (1995) 0.10
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    Classification
    ST 287
    ST 351 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z)
    ST 351 G47 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z) / SGML
    Bib D 91 / Internet
    RVK
    ST 287
    ST 351 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z)
    ST 351 G47 Informatik / Monographien / Einzelne Anwendungen der Datenverarbeitung / Textverarbeitung, Desktop Publishing / Einzelne Programme (A-Z) / SGML
    SBB
    Bib D 91 / Internet
  14. 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.
  15. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.09
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    Abstract
    A summary of brain theory is given so far as it is contained within the framework of Localization Theory. Difficulties of this "conventional theory" are traced back to a specific deficiency: there is no way to express relations between active cells (as for instance their representing parts of the same object). A new theory is proposed to cure this deficiency. It introduces a new kind of dynamical control, termed synaptic modulation, according to which synapses switch between a conducting and a non- conducting state. The dynamics of this variable is controlled on a fast time scale by correlations in the temporal fine structure of cellular signals. Furthermore, conventional synaptic plasticity is replaced by a refined version. Synaptic modulation and plasticity form the basis for short-term and long-term memory, respectively. Signal correlations, shaped by the variable network, express structure and relationships within objects. In particular, the figure-ground problem may be solved in this way. Synaptic modulation introduces exibility into cerebral networks which is necessary to solve the invariance problem. Since momentarily useless connections are deactivated, interference between di erent memory traces can be reduced, and memory capacity increased, in comparison with conventional associative memory
    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
    Type
    a
  16. Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018) 0.09
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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>
  17. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.09
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
    Type
    a
  18. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.09
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    Abstract
    Als Erfinder des «Allgemeinen» gilt, gemäß dem Bericht des Aristoteles und seit diesem Bericht, Sokrates. Er ist es, der nicht mehr danach suchte, woraus ein Ding zu dem geworden ist, was es ist, oder wie es entstanden ist, sondern danach, «was [ein Ding] ist», und somit ist Sokrates der erste gewesen, der die Herausarbeitung des Allgemeinen (?a?????) forderte und mit seinen Fragen seine Gesprächspartner zu dieser Herausarbeitung trieb bzw. lockte; die Definition (???sµ??) war das Ziel des sokratischen Gesprächs, und die sokratische Aporie war das Vehikel.
    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
    Type
    a
  19. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.09
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    Abstract
    In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  20. Oberhauser, O.; Mislik, H.: BIB-O-PAC - eine Zwischenbilanz in Zahlen (1997) 0.09
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