Search (2 results, page 1 of 1)

  • × author_ss:"Cahier, J.-P."
  • × type_ss:"el"
  1. Cahier, J.-P.; Zaher, L'H.; Isoard , G.: Document et modèle pour l'action, une méthode pour le web socio-sémantique : application à un web 2.0 en développement durable (2010) 0.02
    0.023989651 = product of:
      0.047979303 = sum of:
        0.047979303 = product of:
          0.095958605 = sum of:
            0.095958605 = weight(_text_:web in 4836) [ClassicSimilarity], result of:
              0.095958605 = score(doc=4836,freq=10.0), product of:
                0.17002425 = queryWeight, product of:
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.052098576 = queryNorm
                0.5643819 = fieldWeight in 4836, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=4836)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    We present the DOCMA method (DOCument and Model for Action) focused to Socio-Semantic web applications in large communities of interest. DOCMA is dedicated to end-users without any knowledge in Information Science. Community Members can elicit, structure and index shared business items emerging from their inquiry (such as projects, actors, products, geographically situated objects of interest.). We apply DOCMA to an experiment in the field of Sustainable Development: the Cartodd-Map21 collaborative Web portal.
    Theme
    Semantic Web
  2. Xiaoyue M.; Cahier, J.-P.: Iconic categorization with knowledge-based "icon systems" can improve collaborative KM (2011) 0.01
    0.007663213 = product of:
      0.015326426 = sum of:
        0.015326426 = product of:
          0.030652853 = sum of:
            0.030652853 = weight(_text_:web in 4837) [ClassicSimilarity], result of:
              0.030652853 = score(doc=4837,freq=2.0), product of:
                0.17002425 = queryWeight, product of:
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.052098576 = queryNorm
                0.18028519 = fieldWeight in 4837, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4837)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Icon system could represent an efficient solution for collective iconic categorization of knowledge by providing graphical interpretation. Their pictorial characters assist visualizing the structure of text to become more understandable beyond vocabulary obstacle. In this paper we are proposing a Knowledge Engineering (KM) based iconic representation approach. We assume that these systematic icons improve collective knowledge management. Meanwhile, text (constructed under our knowledge management model - Hypertopic) helps to reduce the diversity of graphical understanding belonging to different users. This "position paper" also prepares to demonstrate our hypothesis by an "iconic social tagging" experiment which is to be accomplished in 2011 with UTT students. We describe the "socio semantic web" information portal involved in this project, and a part of the icons already designed for this experiment in Sustainability field. We have reviewed existing theoretical works on icons from various origins, which can be used to lay the foundation of robust "icons systems".

Languages