Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Prototype of Speech Interface Baed on Google Cloud Platform to Access a Semantic Website

Version 1 : Received: 18 May 2018 / Approved: 21 May 2018 / Online: 21 May 2018 (12:38:00 CEST)

A peer-reviewed article of this Preprint also exists.

Rosales-Huamaní, J.A.; Castillo-Sequera, J.L.; Montalvan-Figueroa, J.; Andrade-Choque, J. A Prototype of Speech Interface Based on the Google Cloud Platform to Access a Semantic Website. Symmetry 2018, 10, 268. Rosales-Huamaní, J.A.; Castillo-Sequera, J.L.; Montalvan-Figueroa, J.; Andrade-Choque, J. A Prototype of Speech Interface Based on the Google Cloud Platform to Access a Semantic Website. Symmetry 2018, 10, 268.

Abstract

The main restriction of the Semantic Web is the difficult of the SPARQL language, that is necessary to extract information from the Knowledge Representation also known as ontology. Making the Semantic Web accessible for people who do not know SPARQL, is essential the use of friendlier interfaces and a good alternative is Natural Language. This paper shows the implementation of a friendly prototype interface to query and retrieve, by voice, information from website building with the Semantic Web tools. In that way, the end users avoid the complicated SPARQL language. To achieve this, the interface recognizes a speech query and converts it into text, it processes the text through a java program and identifies keywords, generates a SPARQL query, extracts the information from the website and read it in voice, for the user. In our work Google Cloud Speech API makes Speech-to-Text conversions and Text-to Speech conversions are made with SVOX Pico. As results, we have measured three variables: The success rate in queries, the response time of query and a usability survey. The values of the variables allows the evaluation of our prototype. Finally the interface proposed provides us a new approach in the problem, using the Cloud like a Service, reducing barriers of access to the Semantic Web for people without technical knowledge of Semantic Web technologies.

Keywords

artificial intelligence; semantic web; natural language; Google cloud speech; SPARQL

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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