Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    UID:
    edoccha_9959186116002883
    Format: 1 online resource (IX, 140 p.)
    Edition: 1st ed. 1991.
    Edition: Online edition Springer Lecture Notes Archive ; 041142-5
    ISBN: 3-540-47051-4
    Series Statement: Lecture Notes in Artificial Intelligence ; 481
    Content: On the basis of a semantic analysis of dimension terms, this book develops a theory about knowledge of spatial objects, which is significant for cognitive linguistics and artificial intelligence. This new approach to knowledge structure evolves in a three-step process: - adoption of the linguistic theory with its elements, principles and representational levels, - implementation of the latter in a Prolog prototype, and - integration of the prototype into a large natural language understanding system. The study documents interdisciplinary research at work: the model of spatial knowledge is the fruit of the cooperative efforts of linguists, computational linguists, and knowledge engineers, undertaken in that logical and chronological order. The book offers a two-level approach to semantic interpretation and proves that it works by means of a precise computer implementation, which in turn is applied to support a task-independent knowledge representation system. Each of these stages is described in detail, and the links are made explicit, thus retracing the evolution from theory to practice.
    Note: Bibliographic Level Mode of Issuance: Monograph , A linguistic approach to spatial knowledge -- The implementation of OSKAR -- The integration of OSKAR into the LILOG system. , English
    In: Springer eBooks
    Additional Edition: ISBN 3-540-53718-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages