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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.11 
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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
  2. Larsgaard, M.L.: Accessing the world of digital spatial data (1992) 0.09 
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    Abstract
    Large scale topographic maps are increasingly being put in digital form and are close to point where they are in hard copy on demand only. Map collections are thus seeing a drastic change in format for this type of data. States generally the basics of servicing spatial data in digital form
  3. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.08 
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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
  4. Bose, I.; Chen, X.: ¬A method for extension of generative topographic mapping for fuzzy clustering (2009) 0.07 
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    Abstract
    In this paper, a new method for fuzzy clustering is proposed that combines generative topographic mapping (GTM) and Fuzzy c-means (FCM) clustering. GTM is used to generate latent variables and their posterior probabilities. These two provide the distribution of the input data in the latent space. FCM determines the seeds of clusters, as well as the resultant clusters and the corresponding membership functions of the input data, based on the latent variables obtained from GTM. Experiments are conducted to compare the results obtained using FCM and the Gustafson-Kessel (GK) algorithm with the proposed method in terms of four cluster-validity indexes. Using simulated and benchmark data sets, it is observed that the hybrid method (GTMFCM) performs better than FCM and GK algorithms in terms of these indexes. It is also found that the superiority of GTMFCM over FCM and GK algorithms becomes more pronounced with the increase in the dimensionality of the input data set.
  5. Australian Council of Libraries and Information Services Working Party on the Presentation of Machine-Readable Records Working Group on Cartographic and Associated Records : Report and recommendations (1990) 0.07 
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    Abstract
    Reports a study conducted by the Working Group on ... of the Australian Council of Libraries and Information Services to gather information on cartographic databases, including data on size, scope, access and preservation arrangements. Discusses recommendations of the Working Group under the following headings: digitised maps where graphic output in the form of printed maps or microform persists; digital maps where no printed or microform output persists; physical preservation of data on tape; database management; standards for exchange of non-topographic data; and remotely-sensed data
  6. Hagen-Lautrup, C.B.: ¬The LA series and cataloguing (1989) 0.07 
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    Abstract
    The library profession and administrators have vastly underestimated the skills needed to catalogue maps and stresses the amount of time and effort thet is required to correct existing cartographic materials must have an adequate working knowledge of acronyms; grids; map projection; the concepts of graphic and numeric scale; principles behind alpha-numerical code systems; and topographic terms and concepts, in English and other languages.
  7. Berendt, B.: Spatial thinking with geographic maps : an empirical study (1998) 0.06 
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    Abstract
    Geographic maps are a well-established way of representing domain-specific knowledge in a way which integrates symbolic and pictorial representation. This paper proposes an interdisciplinary approach to the understanding of how maps represent and organise knowledge, combining artificial intelligence knowledge representation theory with empirical findings and methods from cognitive psychology. Schematic maps represent knowledge in a different way than topographic or city maps; in particular, distances and directions cannot be evaluated in the same way as in topographic or city maps. However, information from different types of maps must often be combined to answer everyday questions. An inference task involving such a combination, in order to locate a train station shown in a schematic map with respect to a part of a city map, was analysed theoretically with respect to how location judgments change with assumptions about what spatial information is contained in the schematic map. The same task was investigated empirically in a study in which subjects were asked to locate a train station and to describe their thinking in a subsequent verbal report. Results indicate that subjects' judgements and verbal reports can be grouped according to the theoretical analysis
  8. Hill, L.L.: Geographic indexing for bibliographic databases (1989) 0.06 
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    Abstract
    Geographic indexing is usually handled in the same way as other indexing; that is, through the use of controlled vocabulary, often in a hierarchical arrangement from broad region (such as continent) to smaller regions (such as country, county, geologic province, topographic feature, city). But a geographic location can also be described by map reference points (geocoding), such as a set of latitudes and longitudes. This spatial referencing and the use of computer graphic display has many advantages over word-based indexing. Examples of the variation of geographic indexing terminology for on-line bibliographic records are given.
  9. Weimer, K.H.: Subject analysis for cartographic materials (1999) 0.06 
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    Abstract
    Cartographic materials portray subject matter, focused on geographical area, with themes and cartographic forms as other facets of interest to users. Subject headings provide access to geographic areas and subject matter, both of which are significant to reference work and organization of map collections. This article focuses on the Library of Congress subject headings system, and its method of application for cartographic materials. Specific formats - including atlases, views, globes, charts and digital maps - and typical problem areas - such as geographic names, coastlines, boundary maps, ancillary maps, facsimiles, topographic quadrangles, and maps accompanying books - are discussed.
  10. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.06 
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    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  11. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.05 
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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.
  12. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.05 
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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.
  13. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.05 
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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/.
  14. 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) 0.05 
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    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  15. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.05 
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    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  16. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.04 
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    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.
  17. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.04 
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    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  18. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.04 
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    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  19. Bean, C.A.: Representation of medical knowledge for automated semantic interpretation of clinical reports (2004) 0.04 
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    Abstract
    A set of cardiac catheterisation case reports was analysed to identify and encode for automated interpretation of the semantic indicators of location and severity of disease in coronary arteries. Presence of disease was indicated by the use of specific or general disease terms, typically with a modifier, while absence of disease was indicated by negation of similar phrases. Disease modifiers indicating severity could be qualitative or quantitative, and a 7-point severity scale was devised to normalise these modifiers based an relative clinical significance. Location of disease was indicated in three basic ways: By situation in arbitrary topographic divisions, by situation relative to a named structure, or by using named structures as boundary delimiters to describe disease extent. In addition, semantic indicators were identified for such topological relationships as proximity, contiguity, overlap, and enclosure. Spatial reasoning was often necessary to understand the specific localisation of disease, demonstrating the need for a general Spatial extension to the underlying knowledge base.
  20. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.03 
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    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.

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