Open Access
Issue
SHS Web Conf.
Volume 77, 2020
The 2nd ACM Chapter International Conference on Educational Technology, Language and Technical Communication (ETLTC2020)
Article Number 03008
Number of page(s) 6
Section Technical Communication
DOI https://doi.org/10.1051/shsconf/20207703008
Published online 08 May 2020
  1. S. Leukert: Wandel des Kontextbegriffs. In J. Henning, M. Tjarks-Sobhani (Eds.): Intelligente Informationen. Schriften zur Technischen Kommunikation. 22nd ed. Stuttgart: tekom e.V., pp. 103–110. (2017) [Google Scholar]
  2. W. Ziegler: Semantic Information Development for Intelligent Content Delivery. In Official Journal of Japan Technical Communication Association JTCA, pp. 18–29. (2019) [Google Scholar]
  3. W. Ziegler: Drivers of Digital Information Services: Intelligent Information Architectures in Technical Communication. In D. Roy (Ed.): ACM Chapter Proceedings on Educational Technology, Language and Technical Communication. Aizu, Japan: The University of Aizu, pp. 48–53. (2019) [Google Scholar]
  4. T. Nguyen, W. Ziegler: Interactive Content Delivery: Technologies, Use Cases and Industrial Applications for IoT Scenarios. In tekom e.V. (Ed.): Intelligente Informationen. Stuttgart. tcworld conference, pp. 142–144. (2017) [Google Scholar]
  5. C. D. Manning, P. Raghavan, H. Schütze: Introduction to Information Retrieval. Cambridge: Cambridge UP. (2009) [Google Scholar]
  6. N. Guarino, P. Giaretta: Ontologies and knowledge bases: Towards a terminological clarification. In N. Mars (Ed.): Building and sharing very large-scale knowledge bases. Towards very large knowledge bases. Amsterdam: Ios Pr. (1995) [Google Scholar]
  7. T. R. Gruber: A translation approach to portable ontology specifications. In Knowledge Acquisition 5 (2), pp. 199–220. (1993) [CrossRef] [Google Scholar]
  8. S. Spaccapietra: Journal on Data Semantics XI. Berlin: Springer. (2008) [Google Scholar]
  9. Cambridge Dictionary: Transformation | meaning in the Cambridge English Dictionary. Cambridge University Press. Available online at https://dictionary.cambridge.org/dictionary/english/transformation, checked on 3/5/2020. (2020) [Google Scholar]
  10. O. Šváb-Zamazal, V. Svátek, F. Scharffe, J. David: Detection and Transformation of Ontology Patterns. In A. Fred, J. L. G. Dietz, K. Liu, J. Filipe (Eds.): Communications in computer and information science, Bd. 128, Knowledge Discovery, Knowledge Engineering and Knowledge Management: First International Joint Conference, IC3K. Funchal, Madeira, Portugal, pp. 210–223. (2009) [Google Scholar]
  11. H. Fischer, L. Krägel: Modeling of Complex Metadata in Technical Communication by Ontologies. In D. Roy (Ed.): ACM Chapter Proceedings on Educational Technology, Language and Technical Communiacation. Aizu, Japan: The University of Aizu, pp. 11-16. (2019) [Google Scholar]
  12. A. Cockburn: Writing effective use cases. Boston: Addison-Wesley. (2006) [Google Scholar]
  13. G. Armano, M. Gemmis; Semeraro, Giovanni; Vargiu, Eloisa: Intelligent Information Access. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg. (2010) [CrossRef] [Google Scholar]
  14. N. J. Belkin, W. B. Croft: Information filtering and information retrieval: two sides of the same coin? In Communications of the ACM 35 (12), pp. 29–38. (1992) [CrossRef] [Google Scholar]
  15. S. Roser, B. Bauer: Ontology-Based Model Transformation. In J. Bruel (Ed.): Satellite events at the MoDELS 2005 conference. MoDELS 2005 international workshops, Berlin: Springer, pp. 355–356. (2006) [Google Scholar]
  16. B. Wouters, M. Gervais: Ontology Transformations. In C. Chi (Ed.): 2012 IEEE 16th International Enterprise Distributed Object Computing Conference (EDOC). pp. 71–80. (2012) [CrossRef] [Google Scholar]
  17. S. Abburu: A Survey on Ontology Reasoners and Comparison. In International Journal of Computer Applications (17). (2012) [Google Scholar]
  18. D. Moshman: From inference to reasoning: The construction of rationality. In Thinking & Reasoning 10 (2), pp. 221–239. (2007) [CrossRef] [Google Scholar]
  19. J. Oevermann, W. Ziegler: Automated Classification of Content Components in Technical Communication. In Computational Intelligence (33). (2017) [Google Scholar]
  20. A. Rockley, C. Cooper, K. Halvorson: Managing enterprise content. A unified content strategy. 2nd ed. Berkeley, CA: New Riders. (2012) [Google Scholar]
  21. W. Ziegler: Extending intelligent content delivery in technical communication by semantics: micro documents and content services. In D. Roy (Ed.): Proceedings of the ETLTC ACM Chapter International Conference. Aizuwakamatsu, Japan. (2020) [Google Scholar]
  22. R. Ghawi, N. Cullot (Eds.): Database-to-Ontology Mapping Generation for Semantic Interoperability. Vienna. Third International Workshop on Database Interoperability. (2007) [Google Scholar]
  23. S. Closs: Single-Source-Publishing. Topicorientierte Strukturierung und DITA. Frankfurt am Main: entwickler.press. (2007) [Google Scholar]
  24. C. Oberle, W. Ziegler: Content Intelligence for Content Management Systems. tcworld. Available online at http://www.tcworld.info/rss/article/content-intelligence-for-content-management-systems/, updated on 10/2012, checked on 3/4/2020. (2012) [Google Scholar]
  25. W. Ziegler: The Evolution of Content Management towards Intelligent Delivery Systems for Technical Communication. In Frontier, Official Journal of Japan Technical Communicators Association JTCA, pp. 68–75. (2017) [Google Scholar]
  26. S. Staab, R. Studer: Handbook on Ontologies. Dordrecht: Springer. (2009) [CrossRef] [Google Scholar]
  27. T. E. Potok, M. T. Elmore, J. W. Reed. N. F Samatova: An ontology-based HTML to XML conversion using intelligent agents. In R. H. Sprague (Ed.): Proceedings of the 35th Annual Hawaii International Conference on System Sciences. Los Alamitos, Calif: IEEE Computer Society Press, pp. 1220–1229. (2002) [CrossRef] [Google Scholar]
  28. N. F. Noy, D. L. McGuinness: Ontology Development 101: A Guide to Creating Your First Ontology. Stanford, CA: Stanford University. (2001) [Google Scholar]

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