Search (3 results, page 1 of 1)

  • × author_ss:"Rada, R."
  • × theme_ss:"Hypertext"
  1. Rada, R.: Hypertext and paper : a special synergy (1991) 0.01
    0.013230831 = product of:
      0.026461663 = sum of:
        0.026461663 = product of:
          0.052923325 = sum of:
            0.052923325 = weight(_text_:22 in 4915) [ClassicSimilarity], result of:
              0.052923325 = score(doc=4915,freq=2.0), product of:
                0.17098464 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04882723 = queryNorm
                0.30952093 = fieldWeight in 4915, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=4915)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    International journal of information management. 11(1991) no.1, S.14-22
  2. Wang, W.; Rada, R.: Experiences with semantic net based hypermedia (1995) 0.01
    0.011891787 = product of:
      0.023783574 = sum of:
        0.023783574 = product of:
          0.095134296 = sum of:
            0.095134296 = weight(_text_:authors in 4540) [ClassicSimilarity], result of:
              0.095134296 = score(doc=4540,freq=4.0), product of:
                0.22259426 = queryWeight, product of:
                  4.558814 = idf(docFreq=1258, maxDocs=44218)
                  0.04882723 = queryNorm
                0.42738882 = fieldWeight in 4540, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  4.558814 = idf(docFreq=1258, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4540)
          0.25 = coord(1/4)
      0.5 = coord(1/2)
    
    Abstract
    The Many Using and Creating Hypermedia (MUCH) systems is based on the Dexter model and treats the storage layer as a semantic net. The MUCH system provides a numer of recommended link types for representing application domain concepts, such as thesauri, documents and annotations. users of the system are expected to use those link types in the course of authoring meaningful hypermedia. based on the logs of usage of the MUCH system over 2 years by over 200 people, contrary to the designers' expectations, users did not exploit the ability to type semantic links. Typically authors used the default link type regardless of their semantic intentions. When a link type other than the default type was chosen, that choice was often inconsistent with the way another user would able a similar link. The system has proven to be useful for authoring conventional documents. Authors, however, were not practically able to produce hypertext documents. Based on these experiences a new system, RICH (Reusable Intelligent Collaborative Hypermedia), has been designed and built which emphasizes rules for typing links and maintaining the integrity of the semantic net
  3. Rada, R.: Hypertext writing and document reuse : the role of a semantic net (1990.) 0.01
    0.011211684 = product of:
      0.022423368 = sum of:
        0.022423368 = product of:
          0.08969347 = sum of:
            0.08969347 = weight(_text_:authors in 5911) [ClassicSimilarity], result of:
              0.08969347 = score(doc=5911,freq=2.0), product of:
                0.22259426 = queryWeight, product of:
                  4.558814 = idf(docFreq=1258, maxDocs=44218)
                  0.04882723 = queryNorm
                0.40294603 = fieldWeight in 5911, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.558814 = idf(docFreq=1258, maxDocs=44218)
                  0.0625 = fieldNorm(doc=5911)
          0.25 = coord(1/4)
      0.5 = coord(1/2)
    
    Abstract
    When document components are classified and then recombined during document re-use, a semantic net may serve as the classification language. A theory of analogical inheritance, applied to this semantic net, guides the reorganisation of document components. Authors index paragraphs from various sources with node-link-node triples from a semantic net and then use programs to transverse the semantic net and generate various outlines. The program examines node and link names in deciding which path to take. Describes how these techniques helped in the re-use: parts of an existing book to write a new one