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  • × author_ss:"Schreiber, G."
  1. Schreiber, G.: Proposals for principles of knowledge engineering in the 21st century (2009) 0.04 
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  2. Speel, P.-H.; Schreiber, G.; Van Joolingen, W.; Van Heijst, G.; Beijer, G.: Conceptual modeling for knowledge-based systems (2002) 0.01 
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    Abstract
    In this article, we presented knowledge-based system (KBS) development as a specific way of software engineering. What makes conceptual modeling for KBSs unique? STRENGTHS Knowledge-based system development is a very complex process. The approach in this article to clearly separate conceptual modeling from software implementation, which makes the process of KBS development feasible and manageable in a business environment. In addition, the knowledge model resulting from conceptual modeling is a deliverable in itself. For example, in knowledge management, knowledge mapping is a popular area in which graphical, high-level, business-focused knowledge models are delivered. Another strength is the ease of maintenance. Separating models and program code makes the process of updating more flexible. Last but not least, methodological approaches to KBS development have been matured, which provide a professional basis. Knowledge engineers start working in a similar way, and as a result exchange of work is possible and project planning is better manageable. WEAKNESSES The separation of conceptual modeling and KBS software implementation will take more time initially. However, reuse of models and code may speed up the separate processes considerably. In addition, the separate phases need different expertise; knowledge engineers with specific analytical skills should be assigned to conceptual modeling, whereas software engineers with specific programming skills should be assigned to software implementation. Finally, the various methodological approaches lack mature support tools. OPPORTUNITIES Reuse of various knowledge models as well as program code may bring several advantages, in improved quality of the KBSs as well as in speed to market. Separate development of conceptual vocabularies (also called dictionaries or ontologies), corporate memories, and generic domain models in an explicit form may form the basis of effective management of business-critical knowledge domains, which leads to sustainable competitive advantage.
  3. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.00 
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    Date
    29. 7.2011 14:44:56
  4. Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004) 0.00 
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    Date
    29. 7.2011 14:44:56
  5. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.00 
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    Date
    29. 7.2011 14:44:56
  6. Assem, M. van; Malaisé, V.; Miles, A.; Schreiber, G.: ¬A method to convert thesauri to SKOS (2006) 0.00 
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    Date
    29. 7.2011 14:44:56
  7. Hollink, L.; Assem, M. van; Wang, S.; Isaac, A.; Schreiber, G.: Two variations on ontology alignment evaluation : methodological issues (2008) 0.00 
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    Date
    29. 7.2011 14:44:56
  8. Schreiber, G.; Amin, A.; Assem, M. van; Boer, V. de; Hardman, L.; Hildebrand, M.; Omelayenko, B.; Ossenbruggen, J. van; Wielemaker, J.; Wielinga, B.; Tordai, A.; Aroyoa, L.: Semantic annotation and search of cultural-heritage collections : the MultimediaN E-Culture demonstrator (2008) 0.00 
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    Date
    29. 7.2011 14:44:56
  9. Schreiber, G.; Amin, A.; Assem, M. van; Boer, V. de; Hardman, L.; Hildebrand, M.; Hollink, L.; Huang, Z.; Kersen, J. van; Niet, M. de; Omelayenko, B.; Ossenbruggen, J. van; Siebes, R.; Taekema, J.; Wielemaker, J.; Wielinga, B.: MultimediaN E-Culture demonstrator (2006) 0.00 
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    Date
    29. 7.2011 14:44:56

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