The term Autism Spectrum Disorders (ASDs) covers conditions such as autism, childhood disintegrative disorder and Asperger syndrome. In this line, the World Health Organization (WHO) points that core symptoms of ASD are: a mixture of impaired capacity for reciprocal socio-communicative interaction and a restricted, stereotyped repetitive repertoire of interests and activities. Therefore, it is fundamental for a person with ASD to develop skills to communicate with his/her peers, share ideas, and express feelings. On those grounds, this chapter presents an intelligent ecosystem to support the development of social communication skills in children with ASD. The ecosystem uses a knowledge model that relies on ontologies, and defines the main elements that will be used for psychological intervention process. The different activities that will be carried out during the therapeutic intervention can be done using a robotic assistant or a Multi-Sensory Stimulation Room. This proposal has been tested with 47 children of regular schools, 9 specialists on ASD, and 36 children with ASD.

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This chapter presents a new proposal for supporting the management of research processes in universities and higher education centers. To this aim, the authors have developed a comprehensive ecosystem that implements a knowledge model that addresses three innovative aspects of research: (i) acceleration of knowledge production, (ii) research valorization and (iii) discovery of improbable peers. The ecosystem relies on ontologies and intelligent modules and is able to automatically retrieve information of major scientific databases such as SCOPUS and Science Direct to infer new information. Currently, the system is able to provide guidelines to create improbable research peers as well as automatically generate resilience graphics and reports from more than 17,000 tuples of the ontological database. In this work, the authors describe in detail an important aspect of support systems for research management in higher education: the development and valorization of competences of students collaborating in research process and startUPS of universities. Furthermore, a knowledge model of entrepreneurship (startUPS) as well as an analyzer of general and specific competences based on data mining processes is presented.

The term Autism Spectrum Disorders (ASDs) covers conditions such as autism, childhood disintegrative disorder and Asperger syndrome. In this line, the World Health Organization (WHO) points that core symptoms of ASD are: a mixture of impaired capacity for reciprocal socio-communicative interaction and a restricted, stereotyped repetitive repertoire of interests and activities. Therefore, it is fundamental for a person with ASD to develop skills to communicate with his/her peers, share ideas, and express feelings. On those grounds, this chapter presents an intelligent ecosystem to support the development of social communication skills in children with ASD. The ecosystem uses a knowledge model that relies on ontologies, and defines the main elements that will be used for psychological intervention process. The different activities that will be carried out during the therapeutic intervention can be done using a robotic assistant or a Multi-Sensory Stimulation Room. This proposal has been tested with 47 children of regular schools, 9 specialists on ASD, and 36 children with ASD.