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  • × type_ss:"el"
  1. Priss, U.: Faceted knowledge representation (1999) 0.03
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    Abstract
    Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
    Date
    22. 1.2016 17:30:31
  2. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.02
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    Date
    26.12.2011 13:22:07
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  3. Tzitzikas, Y.; Spyratos, N.; Constantopoulos, P.; Analyti, A.: Extended faceted ontologies (2002) 0.01
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    Abstract
    A faceted ontology consists of a set of facets, where each facet consists of a predefined set of terms structured by a subsumption relation. We propose two extensions of faceted ontologies, which allow inferring conjunctions of terms that are valid in the underlying domain. We give a model-theoretic interpretation to these extended faceted ontologies and we provide mechanisms for inferring the valid conjunctions of terms. This inference service can be exploited for preventing errors during the indexing process and for deriving navigation trees that are suitable for browsing. The proposed scheme has several advantages by comparison to the hierarchical classification schemes that are currently used, namely: conceptual clarity: it is easier to understand, compactness: it takes less space, and scalability: the update operations can be formulated easier and be performed more efficiently.
  4. Assem, M. van; Rijgersberg, H.; Wigham, M.; Top, J.: Converting and annotating quantitative data tables (2010) 0.01
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    Abstract
    Companies, governmental agencies and scientists produce a large amount of quantitative (research) data, consisting of measurements ranging from e.g. the surface temperatures of an ocean to the viscosity of a sample of mayonnaise. Such measurements are stored in tables in e.g. spreadsheet files and research reports. To integrate and reuse such data, it is necessary to have a semantic description of the data. However, the notation used is often ambiguous, making automatic interpretation and conversion to RDF or other suitable format diffiult. For example, the table header cell "f(Hz)" refers to frequency measured in Hertz, but the symbol "f" can also refer to the unit farad or the quantities force or luminous flux. Current annotation tools for this task either work on less ambiguous data or perform a more limited task. We introduce new disambiguation strategies based on an ontology, which allows to improve performance on "sloppy" datasets not yet targeted by existing systems.
  5. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  6. Quick Guide to Publishing a Thesaurus on the Semantic Web (2008) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  7. Bandholtz, T.; Schulte-Coerne, T.; Glaser, R.; Fock, J.; Keller, T.: iQvoc - open source SKOS(XL) maintenance and publishing tool (2010) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  8. Gladun, A.; Rogushina, J.: Development of domain thesaurus as a set of ontology concepts with use of semantic similarity and elements of combinatorial optimization (2021) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  9. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  10. Assem, M. van; Malaisé, V.; Miles, A.; Schreiber, G.: ¬A method to convert thesauri to SKOS (2006) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  11. OWL Web Ontology Language Test Cases (2004) 0.00
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    Date
    14. 8.2011 13:33:22
  12. Assem, M. van: Converting and integrating vocabularies for the Semantic Web (2010) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  13. Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.00
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    Date
    12. 2.2011 17:35:22
  14. Fischer, D.H.: Converting a thesaurus to OWL : Notes on the paper "The National Cancer Institute's Thesaurus and Ontology" (2004) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  15. Definition of the CIDOC Conceptual Reference Model (2003) 0.00
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    Date
    6. 8.2010 14:22:28
  16. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.00
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    Date
    26.12.2011 13:40:22
  17. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.00
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    Date
    3.12.2016 18:39:22
  18. Priss, U.: Description logic and faceted knowledge representation (1999) 0.00
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    Date
    22. 1.2016 17:30:31
  19. Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008) 0.00
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    Date
    28.11.2016 12:43:22
  20. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.00
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    Date
    16.11.2018 14:22:01