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Sleep disorders causing excessive daytime sleepiness are estimated to affect six percent of the population and has traditionally been under diagnosed. Sleep disorders symptoms may lead to an increased likelihood of suffering work and vehicle related accidents as well as affecting the physical and mental well being of the sufferer. A sleep diary documenting sleep hygiene habits over a period of time is an important tool in the diagnoses of sleep disorders. This project was to develop an online sleep diary, bringing benefits of presenting the information earlier to the physician in a format which allows the quick assimilation of information from the diary. The information is also in an electronic format facilitating the transmission to an electronic health record and the building of a database of sleep patterns. An online sleep diary allows a patient to self-monitor their condition allowing them to assess treatment and lifestyle changes on sleep patterns.

Sleep disorders are a significant and growing problem, both for the economy of the nation and for the physical and psychological well-being of individual sufferers. Physicians are under pressure to find ways of dealing with the backlog of patients. The purpose of this chapter is to investigate the operational, administrative, and medical environment within which sleep physicians diagnose patients with sleep disorders and develop an online support system that would efficiently gather patient history data and improve the effectiveness of patient-physician consultations, the diagnoses, and patients' self-management of any subsequent treatment plans. Investigations confirm that the physicians spend a large portion of the available consultation time on routine questions. In the new system, the patient information is captured by the patient completing an online questionnaire. Due to the reduction in time given for data collection, the physician can spend time with the patients discussing patient-specific symptoms and life-styles.

This chapter proposes an ontology using Web ontology language (OWL) for the Australian timber sector that can be used in conjunction with Semantic Web services to provide effective and cheap business-to-business (B2B) communications. From the perspective of the timber industry sector, this study is important because supply chain efficiency is a key component in an organisation’s strategy to gain a competitive advantage in the marketplace. Strong improvement in supply chain performance is possible with improved B2B communication, which is used both for building trust and providing real-time marketing data. Traditional methods such as electronic data interchange (EDI), which are used to facilitate B2B communication, have a number of disadvantages such as high implementation and running costs and a rigid and inflexible messaging standard. Information and communications technologies (ICT) have supported the emergence of Web-based EDI which maintains the advantages of the traditional paradigm while negating the disadvantages. This has been further extended by the advent of the Semantic Web which rests on the fundamental idea that Web resources should be annotated with semantic markup that captures information about their meaning and facilitates meaningful machine-to-machine communication.