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Gupta, S. and Garg, D. (2011) Ontology Based Information Retrieval for Learning Styles of Autistic People. In: Mantri, A., Nandi, S., Kumar, G., and Kumar, S., Eds., High Performance Architecture and Grid Computing, Volume 169 of Communications in Computer and Information Science, Springer Berlin Heidelberg, Berlin, 293-298.
http://dx.doi.org/10.1007/978-3-642-22577-2_40

has been cited by the following article:

• TITLE: A Prototype of a Semantic Platform with a Speech Recognition System for Visual Impaired People

  AUTHORS: Jimmy Rosales-Huamaní, José Castillo-Sequera, Fabricio Puente-Mansilla, Gustavo Boza-Quispe

  KEYWORDS: Semantic Web, Ontology, ASR, Raspberry Pi

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.7 No.4, September 29, 2015

  ABSTRACT: In the world, 10% of the world population suffer with some type of disability, however the fast technological development can originate some barriers that these people have to face if they want to access to technology. This is particularly true in the case of visually impaired users, as they require special assistance when they use any computer system and also depend on the audio for navigation tasks. Therefore, this paper is focused on making a prototype of a semantic platform with web accessibility for blind people. We propose a method to interaction with user through voice commands, allowing the direct communication with the platform. The proposed platform will be implemented using Semantic Web tools, because we intend to facilitate the search and retrieval of information in a more efficient way and offer a personalized learning. Also, Google APIs (STT (Speech to Text) and TTS (Text to Speech)) and Raspberry Pi board will be integrated in a speech recognition module.