166 Int. J. Metadata, Semantics and Ontologies, Vol. 13, No. 2, 2018 Copyright © 2018 Inderscience Enterprises Ltd. SMART-ASD, model and ontology definition: a technology recommendation system for people with autism and/or intellectual disabilities Javier Sevilla*, J. Javier Samper, Gerardo Herrera and Marcos Fernández IRTIC, Universität de València, Valencia, Spain Email: Javier.Sevilla@uv.es Email: Jose.J.Samper@uv.es Email: Gerardo.Herrera@uv.es Email: Marcos.Fernandez@uv.es *Corresponding author Abstract: There are many studies that encourage the use of mobile device solutions to improve the skills of people with an Autism Spectrum Disorder (ASD). There are a number of apps that may be useful for people with ASD, some specifically designed for them, and others not. The main goal of the SMART-ASD project is to assist in the selection of adequate technology and all related accessories. In this project, the users’ data are maintained into an ontology. This ontology also includes information about devices, apps, and protection. The system is a hybrid recommendation system that guides parents and professionals in the selection of the adequate technology. This paper presents the SMART-ASD model and its representation by reusing an ontology from related projects. Keywords: provenance; multi-agent systems; explainable artificial intelligence. Reference to this paper should be made as follows: Sevilla, J., Samper, J.J., Herrera, G. and Fernández, M. (2018) ‘SMART-ASD, model and ontology definition: a technology recommendation system for people with autism and/or intellectual disabilities’, Int. J. Metadata, Semantics and Ontologies, Vol. 13, No. 2, pp.166–178. Biographical notes: Javier Sevilla has a degree and a Master degree in Computer Science by Engineering from the University of Valencia. He is Associate Professor at the School of Engineering, performing his research in ARTEC and Autism Lab at IRTIC Institute (University of Valencia). He has participated in over 20 R&D projects related with Semantic Web, ASD and IT and Virtual/Augmented Reality research lines. He has also published many scientific papers related with those areas. Furthermore he is Secretary of ADAPTA Foundation, formed in late 2007. J. Javier Samper has a PhD degree in Computer Science Engineering and is Associate Professor at the School of Engineering, carrying out his research at LISITT laboratory at the Institute of Robotics and TIC (IRTIC). He has participated in over 30 EU and national R&D projects and 60 contracts and agreements with public administrations since 1996. Currently he is secretary and founding partner of ESAM Technology Company Ltd., a spin-off of the University of Valencia formed in late 2007. Furthermore, he is the president of EATIS.org and coordinates the Master in Telecommunications Engineering in the Universitat de València (Spain). Gerardo Herrera has a degree in Computer Science Engineering from the University of Valladolid and holds a Master degree in Computer Science from the University of Valencia. He founded the Autism Lab at IRTIC Institute (University of Valencia) in 1999 where he has directed dozens of R&D projects on IT and ASD. He is currently a member of the Scientific Advisory Board of DOCTRID Institute (Ireland), under the EU Funded ASSISTID research programme. He has published a number of papers on IT for people at risk of exclusion, including in high impact scientific journals. Marcos Fernández is MSc in Physical Sciences and PhD in Computer Engineering from the Universidad de Valencia. He is currently Professor in the Computer Science Department of the Universidad de Valencia and coordinator of the ARTEC research group at the Institute of Robotics and Information and Communication Technologies (IRTIC) of the same university. During the past years, he has been working in the research areas of virtual and augmented reality, interactive graphics and human-computer multimodal interactions. During the past 20 years he has been in charge of coordinating the ARTEC research group, with more than 30 researchers in these lines.