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  • × author_ss:"Gödert, W."
  1. Gödert, W.: Detecting multiword phrases in mathematical text corpora (2012) 0.00
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    Abstract
    We present an approach for detecting multiword phrases in mathematical text corpora. The method used is based on characteristic features of mathematical terminology. It makes use of a software tool named Lingo which allows to identify words by means of previously defined dictionaries for specific word classes as adjectives, personal names or nouns. The detection of multiword groups is done algorithmically. Possible advantages of the method for indexing and information retrieval and conclusions for applying dictionary-based methods of automatic indexing instead of stemming procedures are discussed.
  2. Gödert, W.: ¬An ontology-based model for indexing and retrieval (2013) 0.00
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    Abstract
    Starting from an unsolved problem of information retrieval this paper presents an ontology-based model for indexing and retrieval. The model combines the methods and experiences of cognitive-to-interpret indexing languages with the strengths and possibilities of formal knowledge representation. The core component of the model uses inferences along the paths of typed relations between the entities of a knowledge representation for enabling the determination of hit quantities in the context of retrieval processes. The entities are arranged in aspect-oriented facets to ensure a consistent hierarchical structure. The possible consequences for indexing and retrieval are discussed.
  3. Gödert, W.: Facet classification in online retrieval (1991) 0.00
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    Abstract
    The study of faceted classification systems has primarily been directed towards application for precombined catalogues or bibliographies, not so much for use in post coordinated retrieval systems. Argues that faceted classification systems in some respects are superior to other techniques of on-line retrieval as far as facet and concept analysis is combined with an expressive notational system in order to guide a form of retrieval which will use Boolean operators (for combining the facets regardless of one special citation order) and truncation for retrieving hierarchically different sets of documents. This point of view is demonstrated by 2 examples. The 1st one uses a short classification system derived from B. Buchanan and the 2nd is built upon the classification system used by Library and Information Science Abstracts (LISA). Further discussion is concerned with some possible consequences which could be derived from a retrieval with PRECIS strings
    "Online retrieval" conjures up a very different mental image now than in 1991, the year this article was written, and the year Tim Berners-Lee first revealed the new hypertext system he called the World Wide Web. Gödert shows that truncation and Boolean logic, combined with notation from a faceted classification system, will be a powerful way of searching for information. It undoubtedly is, but no system built now would require a user searching for material on "nervous systems of bone fish" to enter "Fdd$ and Leaa$". This is worth reading for someone interested in seeing how searching and facets can go together, but the web has made this article quite out of date.
  4. Gödert, W.: Ontological spine, localization and multilingual access : some reflections and a proposal (2008) 0.00
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    Abstract
    In this paper the following problem is discussed: Which possibilities exist to integrate localized knowledge into knowledge structures like classification systems or other documentary languages for the design of OPACs and information systems? It is proposed to combine a de-localized classificatory structure - best describes as 'ontological spine' - with multilingual semantic networks. Each of these networks should represent the respective localized knowledge along an extended set of typed semantic relations serving as entry points vocabulary as well as a semantic basis for navigational purposes within the localized knowledge context. The spine should enable a link between well-known and not well-known knowledge structures.
  5. Gödert, W.: ¬An ontology-based model for indexing and retrieval (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.3, S.594-609

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