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.
Highlights
In recent years the size of the World Wide Web (WWW) has grown dramatically; this has led to a considerable increase in the difficulty to find data about a particular issue, due to the ambiguity of terms used to make queries on the web
Rosales-Huamaní et al The Semantic Web, known as the Data Web and Web 3.0 [1] pretend to solve this problem creating a mechanism for the exchange information with certain meaning
The Semantic Web proposes the use of collections of information called ontologies in order to have a structured knowledge
Summary
In recent years the size of the World Wide Web (WWW) has grown dramatically; this has led to a considerable increase in the difficulty to find data about a particular issue, due to the ambiguity of terms used to make queries on the web. From our point of view, in any case, the implementation of a web platform has to address certain problems like meaning understandable by computers, efficient retrieval of information and accessibility for everyone. Disability aware systems could be designed using Semantic Web technologies, leading to personalized environments that will enable disabled students to have relevant learning resources and to work independently, with little assistance from a tutor. For these reasons, in this paper we make a prototype of a platform based on semantic web with speech recognition using natural language allowing blind students access to knowledge resources and learn independently of their tutor.
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