Abstract
The theory developed for the construction of an adaptive hypermedia is presented, which has the ability to make decisions and be adjusted to the user’s needs. It is considered that besides the elements conforming any Hypermedia (nodes, links, multimedia, etc.), the specialized knowledge on how to handle information is included and too a working memory for each user which allows remember all the interaction that this one executes with the system. This type of knowledge is included in the knowledge representation scheme of hybrid language HAries, by means of three structures: Hypermedia HAries, Execution Variable and State Variable of the Hypermedia which were created for such purpose. The first stores all the hypermedia information related to the data and the knowledge of themselves in a database. This information is then used during the execution of the hypermedia to decide what to show to the user to see in every single moment. The last two structures have the function to start the execution of the hypermedia and the navigation control of the user through itself. All of them are then stored in a knowledge base created with the HAries language.
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Muñoz, Y., de los Angeles Alonso, M., Castillo, I., Martínez, V. (2020). Knowledge-Based Adaptative Hypermedia with HAries. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2019. FTC 2019. Advances in Intelligent Systems and Computing, vol 1069. Springer, Cham. https://doi.org/10.1007/978-3-030-32520-6_4
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