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Toward a document‐centered ontological theory for information architecture in corporations

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  • Mauricio B. Almeida
  • Eduardo R. Felipe
  • Renata Barcelos

Abstract

The beginning of the 21st century attested to the first movements toward information architecture (IA), originating from the field of library and information science (LIS). IA is acknowledged as an important meta‐discipline concerned with the design, implementation, and maintenance of digital information spaces. Despite the relevance of IA, there is little research about the subject within LIS, and still less if one considers initiatives for creating a theory for IA. In this article, we provide a theory for IA and describe the resources needed to create it through ontological models. We also choose the “document” as the key entity for such theory, contemplating kinds of documents that not only serve to register information, but also create claims and obligations in society. To achieve our goals, we provide a background for subtheories from LIS and from Applied Ontology. As a result, we present some basic theory for IA in the form of a formal framework to represent corporations in which IA activities take place, acknowledging that our approach is de facto a subset of IA we call the enterprise information architecture (EAI) approach. By doing this, we highlight the effects that documents cause within corporations in the scope of EIA.

Suggested Citation

  • Mauricio B. Almeida & Eduardo R. Felipe & Renata Barcelos, 2020. "Toward a document‐centered ontological theory for information architecture in corporations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1308-1326, November.
  • Handle: RePEc:bla:jinfst:v:71:y:2020:i:11:p:1308-1326
    DOI: 10.1002/asi.24337
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    References listed on IDEAS

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    1. Sally Burford, 2011. "Complexity and the practice of web information architecture," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 2024-2037, October.
    2. Sally Burford, 2014. "A grounded theory of the practice of web information architecture in large organizations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(10), pages 2017-2034, October.
    3. Elaine G. Toms, 2002. "Information interaction: Providing a framework for information architecture," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 855-862.
    4. Sally Burford, 2011. "Complexity and the practice of web information architecture," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(10), pages 2024-2037, October.
    5. Marsha Haverty, 2002. "Information architecture without internal theory: An inductive design process," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 839-845.
    6. Mauricio Barcellos Almeida & Ricardo Rodrigues Barbosa, 2009. "Ontologies in knowledge management support: A case study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(10), pages 2032-2047, October.
    7. Karen E. Pettigrew & Lynne (E.F.) McKechnie, 2001. "The use of theory in information science research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(1), pages 62-73.
    8. Carol A. Hert & Sheila O. Denn & Daniel W. Gillman & Jung Sun Oh & Maria Cristina Pattuelli & Naybell Hernández, 2007. "Investigating and modeling metadata use to support information architecture development in the statistical knowledge network," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1267-1284, July.
    9. Don Latham, 2002. "Information architecture: Notes toward a new curriculum," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 824-830.
    10. Daniel Cunliffe & Helen Jones & Melanie Jarvis & Kevin Egan & Rhian Huws & Siân Munro, 2002. "Information architecture for bilingual Web sites," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 866-873.
    11. Louis Rosenfeld, 2002. "Information architecture: Looking ahead," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 874-876.
    12. Andrew Dillon, 2002. "Information architecture in JASIST: Just where did we come from?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 821-823.
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