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18                                                               Chapter 1




                                                              Personalization   2000 ++








                                                              Virtualization   1980
                                                     Computerization  1950*

                                            Communications    1900

                                    Transportation   1850

                      Industrialization  1800



                                          * Birth of the Internet, 1969
                 Figure 1.4
                 Developmental phases in KM history

               across communication lines. Next, a messaging system was added to this data fi le
               transfer network. In 1991, the nodes were transferred to the Internet and World Wide
               Web. At the end of 1969, only four computers and about a dozen workers were
               connected.
                    In parallel, there were many key developments in information technologies devoted
               to knowledge-based systems: expert systems that aimed at capturing  experts on a dis-
               kette , intelligent tutoring systems aimed at capturing  teachers on a diskette  and artifi cial
               intelligence approaches that gave rise to knowledge engineering, someone tasked with
               acquiring knowledge from subject matter experts, conceptually modeling this content,
               and then translating it into machine-executable code ( McGraw and Harrison-Briggs
               1989 ). They describe knowledge engineering as  “ involving information gathering,
               domain familiarization, analysisand design efforts. In addition, accumulated knowl-
               edge must be translated into code, tested and refi ned ”  (McGraw and Harrison Briggs,
               5). A knowledge engineer is  “ the individual responsible for structuring and/or con-
               structing an expert system ”  (5). The design and development of such knowledge-based
               systems have much to offer knowledge management that also aims at the capture,
               validation, and subsequent technology-mediated dissemination of valuable knowl-
               edge from experts.
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