Towards ontology-driven application for multilingual speech language therapy

Abstract

In this chapter, an ontology-driven application (ODapp) that offers multilingual speech language therapy (SLT) services – for maternal, neonatal and child health (MNCH) cases, is proposed. The chapter is organized as follows: Section 3.1 provides background on SLT and the use of ontology to drive its processes. Section 3.2 dwells on ODapps with a documentation of recent developments in the field. Section 3.3 discusses ontology evaluation and useful metrics for achieving this. Section 3.4 highlights the challenges and prospects of SLT. Section 3.5 presents the proposed MNCH information system with detailed procedure on domain data collection and classification, and the proposed SLT framework. Section 3.6 discusses the societal implications of the SLT framework. Section 3.7 attempts the implementation of the MNCH ontology from a derived taxonomy with inputs obtained from MNCH infrastructure within the Uyo metropolis of Akwa Ibom State, Nigeria – using Protégé-OWL v5.2.0 – ontology development software. The chapter concludes with pointers to future research direction.