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This work presents a tool called HeuristicTool, by means of which the heuristic evaluation process is supported, allowing evaluators to improve the process of analyzing the results and, in general, the development of said evaluations. During its development and permanent updating, ontologies were included to facilitate the capitalization and transfer of knowledge between the different evaluators. The above through KACTUS, a methodology that proposes steps in relation to: the specification of the application, preliminary design based on ontological categories and a refinement and structuring of the ontology. A group of three experts rated 6 ontology variables, consolidating an average of 4.7 out of 5. In addition, an evaluation of the platform's usability presented satisfactory results, using Jakob Nielsen's battery of heuristics. The main result was an application that gives users the possibility of reviewing structured evaluations in a knowledge base, in order to improve decision making. [ABSTRACT FROM AUTHOR]

This paper focuses on developing a method of hybrid context-aware recommender systems, based on ontologies in the environment of the Spatial Data Infrastructure, which will positively impact the effectiveness of decision-making in the tourist applications for mobile users. The method developed has three components: data and semantic framework, other that implements the recommender system and another responsible for displaying the recommendations. The recommender system component implements a spatial, a semantic and collaborative filters. The recommendations generated show the elements of potential interest, these can be displayed in tabular or combined with spatial information. It was found through an experiment and different applied metrics the increase in its effectiveness for mobile users according to their preferences as to the recommendations given in a spatial environment. [ABSTRACT FROM AUTHOR]

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