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The Extended Abstract Categorization Map (E-ACM)

The Extended Abstract Categorization Map (E-ACM)

Carlos Miguel Tobar, Ivan Luiz Marques Ricarte
Copyright: © 2005 |Pages: 21
ISBN13: 9781591405672|ISBN10: 159140567X|EISBN13: 9781591405375
DOI: 10.4018/978-1-59140-567-2.ch004
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MLA

Tobar, Carlos Miguel, and Ivan Luiz Marques Ricarte. "The Extended Abstract Categorization Map (E-ACM)." Adaptable and Adaptive Hypermedia Systems, edited by Sherry Y. Chen and George D. Magoulas, IGI Global, 2005, pp. 59-79. https://doi.org/10.4018/978-1-59140-567-2.ch004

APA

Tobar, C. M. & Marques Ricarte, I. L. (2005). The Extended Abstract Categorization Map (E-ACM). In S. Chen & G. Magoulas (Eds.), Adaptable and Adaptive Hypermedia Systems (pp. 59-79). IGI Global. https://doi.org/10.4018/978-1-59140-567-2.ch004

Chicago

Tobar, Carlos Miguel, and Ivan Luiz Marques Ricarte. "The Extended Abstract Categorization Map (E-ACM)." In Adaptable and Adaptive Hypermedia Systems, edited by Sherry Y. Chen and George D. Magoulas, 59-79. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-567-2.ch004

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Abstract

This chapter presents the Extended Abstract Categorisation Map, which provides a conceptual tool to evaluate the coverage of adaptive hypermedia methods, concerning their modelling mechanisms. The design of modern hypermedia systems requires an integrated approach contemplating modelling principles, evaluation frameworks, and reference models. Several approaches and methods exist, but it is difficult to comprehend how they complement or interfere among themselves during a design effort. The E-ACM considers the relationship among four complementary modelling perspectives related to adaptive hypermedia design: services, traditional concerns, abstraction levels, and goal conditions. In this chapter, the E-ACM is used to compare modelling mechanisms of two adaptive authoring systems. It could also be used to support the application of designing methods and mechanisms. The proposed map is a step towards the integration of modelling perspectives that are not usually combined.

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