Search (2 results, page 1 of 1)

  • × theme_ss:"Wissensrepräsentation"
  • × classification_ss:"004"
  1. Helbig, H.: Knowledge representation and the semantics of natural language (2014) 0.00
    0.0018909799 = product of:
      0.0037819599 = sum of:
        0.0037819599 = product of:
          0.0075639198 = sum of:
            0.0075639198 = weight(_text_:a in 2396) [ClassicSimilarity], result of:
              0.0075639198 = score(doc=2396,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.14243183 = fieldWeight in 2396, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2396)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the preservation of cultural achievements and their transmission from one generation to the other. During the last few decades, the flod of digitalized information has been growing tremendously. This tendency will continue with the globalisation of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical understanding and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this context, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the generation of natural language expressions from formal representations. This book presents a method for the semantic representation of natural language expressions (texts, sentences, phrases, etc.) which can be used as a universal knowledge representation paradigm in the human sciences, like linguistics, cognitive psychology, or philosophy of language, as well as in computational linguistics and in artificial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
  2. Innovations and advanced techniques in systems, computing sciences and software engineering (2008) 0.00
    8.4567186E-4 = product of:
      0.0016913437 = sum of:
        0.0016913437 = product of:
          0.0033826875 = sum of:
            0.0033826875 = weight(_text_:a in 4319) [ClassicSimilarity], result of:
              0.0033826875 = score(doc=4319,freq=2.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.06369744 = fieldWeight in 4319, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4319)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences. Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems, Computing Sciences and Software Engineering (SCSS 2007) which was part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).