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Learning Ontology from Text: A Storytelling Exploratory Case Study

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Knowledge Management in Organizations (KMO 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 224))

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Abstract

Business and IT systems are facing increasingly complex environments characterized by collaboration, change and variety of customers, suppliers and products. Appling group storytelling technique can contribute to the organization knowledge management. It brings benefits from capture to disseminating information, through communication and understanding of the concepts. American companies (3M and Apple), Japanese (Sony and Toshiba) and European (ClubMed and Océ) already use this approach in practice. On the other hand, the Ontology Engineering can contribute towards improving the quality of information and offer a solution to address knowledge management systematically. However, the specification and manually made of ontology management can be expensive, tedious, biased and pruned to error. Aiming to contribute with the management and quality of information, we explore the automatic learning of ontologies, which is an approach that extracts ontologies from data, both structured and unstructured (text). This work presents a proposal to extract an ontology from the tacit knowledge of those involved in the field. An exploratory study was able to get an ontology automatically from stories told by a group from a university department.

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Notes

  1. 1.

    http://www.se7ti.com.br:8080/conti/login.

  2. 2.

    GATE – General Archictecture Text Engineering (https://gate.ac.uk/).

  3. 3.

    http://nlp.stanford.edu/.

  4. 4.

    https://www.dropbox.com/sh/0gpkqbo5tpggh38/AADGXaRDcfcd6jMxAv8M5CdKa?dl=0.

  5. 5.

    https://translate.google.com/.

  6. 6.

    GATE – General Archictecture Text Engineering (https://gate.ac.uk/).

  7. 7.

    http://neon-toolkit.org/wiki/Main_Page.

References

  1. Johannesson, P.: The role of business models in enterprise modelling. In: Krogstie, J., Opdahl, A.L., Brinkkemper, S. (eds.) Conceptual Modelling in Information Systems Engineering, pp. 123–140. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Perret, R., Borges, M.R., Santoro, F.M.: Applying group storytelling in knowledge management. In: de Vreede, G.-J., Guerrero, L.A., Marin Raventós, G. (eds.) CRIWG 2004. LNCS, vol. 3198, pp. 34–41. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Recker, J.: Evaluations of Process Modeling Grammars, vol. 71. Springer, Heidelberg (2011)

    Google Scholar 

  4. Hazman, M., El-Beltagy, S.R., Rafea, A.: A survey of ontology learning approaches. Int. J. Comput. Appl. 22, 0975–8887 (2011)

    Google Scholar 

  5. Nonaka, I., Takeuchi, H.: The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation, p. 284. Oxford University Press, New York (1995)

    Google Scholar 

  6. Tobin, P., Snyman, R.: Once upon a time in Africa: a case study of storytelling for knowledge sharing. Aslib Proc. 60(2), 130–142 (2008)

    Article  Google Scholar 

  7. Mitroff, I., Kilmann, R.: Store managers tell: a new tool for organizational problem solving. Manag. Rev. 64(7), 18–28 (1975)

    Google Scholar 

  8. Santoro, F.M., Brezillon, P.: The role of shared context in group. Comput. Inform. 25(6), 1001–1026 (2006)

    Google Scholar 

  9. Fonseca, F.: The double role of ontologies in information science research. J. Am. Soc. Inform. Sci. Technol. 58(6), 786–793 (2007)

    Article  Google Scholar 

  10. Chen, P.P.-S.: The entity-relationship model - toward a unified view of data. ACM Trans. Database Syst. (TODS) 1, 9–36 (1976)

    Article  Google Scholar 

  11. Rumbaugh, J., Jacobson, I., Booch, G.: The Unified Modeling Language Reference Manual. Pearson Higher Education, Delhi (2004)

    Google Scholar 

  12. Yourdon, E.: Modern Structured Analysis, pp. 78–94. Prentice Hall, Saddle River, NJ (1989)

    Google Scholar 

  13. Fensel, D.: Ontologies: a silver bullet for knowledge management and electronic commerce. Springer, New York (2001)

    Book  Google Scholar 

  14. Fensel, D.: Language standardization for the semantic web: the long way from OIL to OWL. In: Plaice, J., Kropf, P.G., Schulthess, P., Slonim, J. (eds.) DCW 2002. LNCS, vol. 2468, pp. 215–227. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  15. Fensel, D., van Harmelen, F., Horrocks, I., McGuinness, D., Patel-Schneider, P.: OIL: an ontology infrastructure for the semantic web. IEEE Intell. Syst. 16, 38–45 (2001)

    Article  Google Scholar 

  16. Gomez-Perez, A., Benjamins, R.: Knowledge engineering and knowledge management: ontoligies and the semantic web. In: Benjamins, V.R. (ed.) 13th International Conference EKAW 2002. Springer, Heidelberg (2002)

    Google Scholar 

  17. Noy, N., Hafner, C.: The state of art in ontology Design. AI Mag. 18, 53–74 (1997)

    Google Scholar 

  18. Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontology Engineering. Springer, New York (2003)

    Google Scholar 

  19. Guarino, N.: Formal ontology in information systems. In: Proceedings of the First Internation Conference (FOIS 1998), vol. 46, 6–8 June 1998

    Google Scholar 

  20. Staab, S., Studer, R.: Handbook on Ontologies. Springer, New York (2010)

    Google Scholar 

  21. Shamsfard, M., Barforoush, A.A.: The state of the art in ontology learning: a framework for comparison. Knowl. Eng. Rev. 18(4), 293–316 (2003)

    Article  Google Scholar 

  22. Gómez-Pérez, A., Manzano-Macho, D.: A survey of ontology learning methods and techniques. Ontoweb Deliverable D1 (2003)

    Google Scholar 

  23. Mitchell, T.M., Carbonell, J.G., Michalski, R.S.: Machine Learning: A Guide to Current Research. Kluwer Academic Publishers, Norwell (2011)

    Google Scholar 

  24. Manning, C.D., Schutze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)

    Google Scholar 

  25. Manning, C.D., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)

    Book  Google Scholar 

  26. Russel, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall, Saddle River (2009)

    Google Scholar 

  27. Sabou, M., Wroe, C., Goble, C., Mishne, G.: learning domain ontologies for web services descriptions: an experiment in bioinformatics. In: Proceedings of the 14th International Conference on World Wide Web, Chiba (2005)

    Google Scholar 

  28. Cimiano, P., Hotho, A., Staab, S.: Learning concept hierarchies from text corpora using formal concept analysis. JAIR J. AI Res. 24, 305–339 (2005)

    Google Scholar 

  29. Cimiano, P., Völker, J.: Text2Onto. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 227–238. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  30. Staab, S., Schnurr, H., Studer, R., Sure, Y.: Knowledge processes and ontologies. IEEE Intell. Syst. 1, 26–34 (2001)

    Article  Google Scholar 

  31. Tempich, C., Pinto, H., Sure, Y., Staab, S.: An argumentation ontology for distributed, loosely-controlled and evolving engineering processes of ontologies (DILIGENT). In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 241–256. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  32. Bedini, I., Nguyen, B.: Automatic ontology generation: State of the Art (2007)

    Google Scholar 

  33. Buitelaar, P., Olejnik, D., Sintek, M.: A protégé plug-in for ontology extraction from text based on linguistic analysis. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 31–44. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  34. Fortuna, B., Grobelnik, M., Mladenic, D.: OntoGen: semi-automatic ontology editor. In: Smith, M.J., Salvendy, G. (eds.) HCII 2007. LNCS, vol. 4558, pp. 309–318. Springer, Heidelberg (2007)

    Google Scholar 

  35. Leão, F., Revoredo, K., Baião, F.: Learning well-founded ontologies through word sense disambiguation. In: Brazilian Conference on Intelligent Systems, Fortaleza - CE (2013)

    Google Scholar 

  36. Gonçalvez, J., Santoro, F., Baião, F.A.: Business process mining from group stories. In: Proceedings 13th International Conference on Computer Supported Cooperative Work in Design, Santiago, Chile (2009)

    Google Scholar 

  37. Jain, P., Hitzler, P., Sheth, A.P., Verma, K., Yeh, P.Z.: Ontology alignment for linked open data. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part I. LNCS, vol. 6496, pp. 402–417. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  38. Wen, C., Wang, X.-B., Shi, Z.-x.: Automatic domain-specific term extraction in Chinese domain ontology learning. Appl. Res. Comput. 7, 73 (2009)

    Google Scholar 

  39. Vieira, R., Ribeiro, L.: Ontolp: Engenharia de ontologias em língua portuguesa. In: Anais do xxviii congresso da SBC-SEMISH-Seminário integrado de software e hardware, Belem do Pará (2008)

    Google Scholar 

  40. Vossen, P.: EuroWordNet: A Multilingual Database with Lexical Semantic Networks. Kluwer Academic Publishers, Dordrecht (1998)

    Book  Google Scholar 

  41. Leopold, H., Eid-Sabbagh, R.-H., Mendling, J., Azevedo, L.G., Baião, F.A.: Detection of naming convention violations in process models for differente languages. Decis. Support Syst. 56, 310–325 (2013)

    Article  Google Scholar 

  42. Guizzardi, G., Falbo, R., Guizzardi, R.: A importância de ontologias de fundamentação para a engenharia de ontologias de domínio: o caso do domínio de processos de software. IEEE Am. Lat. 6, 244–251 (2008)

    Article  Google Scholar 

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Acknowledgment

Fernanda Araujo Baião and Flávia Maria Santoro are partially funded by the CNPq brazilian research council, respectively under the projects 309069/2013-0 and 473457/2013-0. This work was partially funded by FAPERJ (project number E-26/110.477/2014).

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Authors and Affiliations

  1. Programa de Pós-Graduação em Informática, Departamento de Informática Aplicada, Universidade Federal do Estado do Rio de Janeiro (UNIRIO), Av. Pasteur, Rio de Janeiro, RJ, Brazil

    Valdemar T. F. Confort, Kate Revoredo, Fernanda Araujo Baião & Flávia Maria Santoro

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  1. Valdemar T. F. Confort
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  2. Kate Revoredo
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  3. Fernanda Araujo Baião
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  4. Flávia Maria Santoro
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Corresponding author

Correspondence to Flávia Maria Santoro .

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Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, United Kingdom

    Lorna Uden

  2. University of Maribor, Maribor, Slovenia

    Marjan Heričko

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

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Confort, V.T.F., Revoredo, K., Baião, F.A., Santoro, F.M. (2015). Learning Ontology from Text: A Storytelling Exploratory Case Study . In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_37

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  • DOI: https://doi.org/10.1007/978-3-319-21009-4_37

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  • Online ISBN: 978-3-319-21009-4

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