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  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.77
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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
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.42
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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
  3. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.36
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  4. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.35
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  5. 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) 0.34
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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.
  6. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.31
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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
  7. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.31
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    Content
    Originally published July 1981 as Internal Report 81-2, Dept. of Neurobiology, Max-Planck-Institute for Biophysical Chemistry, 3400 Gottingen, W.-Germany.
    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  8. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.30
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  9. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.29
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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.
  10. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.26
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  11. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.26
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  12. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.24
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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.
  13. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.17
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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.
  14. Schnelling, H.: Library networking in Germany (1993) 0.14
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    Abstract
    In West Germany bibliographic material published after 1980 has been changed from a conventional to a computerized networking infrastructure, yet the provision of publications is based on conventional networks. Provides a history of electronic library networking in Germany covering networking at local, regional and natioanl levels; bibliographic control of books and serials and the enrichment of machine readable library files to bibliographic and factual databases through CD-ROM. Covers recommendations of the Deutsche Forschungsgemeinschaft. Standardisation and research work in German libraries for future networking is directed towards bibliographic control and national format (MAB), availability of publications, dataflow and telecommunications
  15. Gechman, M.C.: Generation and use of machine-readable bibliographic data bases (1972) 0.14
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  16. Cochrane, P.A.: Redesign of catalogs and indexes for improved subject access : selected papers of Pauline A. Cochrane (1985) 0.12
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    LCSH
    Machine / readable bibliographic data
    Subject cataloging / Data processing
    Online bibliographic searching
    Indexing / Data processing
    Subject
    Machine / readable bibliographic data
    Subject cataloging / Data processing
    Online bibliographic searching
    Indexing / Data processing
  17. ¬The digital information revolution: [key presentations] : Superhighway symposium, FEI/EURIM Conference, November 16th & 17th 1994 [at the Central Hall, Westminster.] (1995) 0.11
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    Date
    22.10.2006 18:22:51
    LCSH
    Electronic data interchange / Congresses
    Subject
    Electronic data interchange / Congresses
  18. Lee, S.; Jacob, E.K.: ¬An integrated approach to metadata interoperability : construction of a conceptual structure between MARC and FRBR (2011) 0.10
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    Abstract
    Machine-Readable Cataloging (MARC) is currently the most broadly used bibliographic standard for encoding and exchanging bibliographic data. However, MARC may not fully support representation of the dynamic nature and semantics of digital resources because of its rigid and single-layered linear structure. The Functional Requirements for Bibliographic Records (FRBR) model, which is designed to overcome the problems of MARC, does not provide sufficient data elements and adopts a predetermined hierarchy. A flexible structure for bibliographic data with detailed data elements is needed. Integrating MARC format with the hierarchical structure of FRBR is one approach to meet this need. The purpose of this research is to propose an approach that can facilitate interoperability between MARC and FRBR by providing a conceptual structure that can function as a mediator between MARC data elements and FRBR attributes.
    Date
    10. 9.2000 17:38:22
  19. USMARC format for bibliographic data : including guidelines for content designation (1994) 0.10
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    Abstract
    Here is the standard for representing and exchanging bibliographic data in machine-readable form in the United States. This comprehensive publication defines the structure of the MARC bibliographic record in full detail. Also defines the codes and conventions (tags, indicators, subfield codes and codes values) that identify the data elements in USMARC bibliographic records. Includes specifications for a National Level Bibliographic record (both full and minimal). The remaining future format integration changes are specified
  20. McQueen, J.: Record matching : non-numeric data fields (1993) 0.09
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    Abstract
    Discusses the matching of machine readable bibliographic records from non numeric data fields such as author/main entry, title, publisher, place, date, physical description and edition. Covers the use of non-numeric fields; database profiles; non-numeric fields and assessing the quality of match

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