Semantic Based Vitamin Deficiency Monitoring System

Abstract

Vitamins play major roles in safeguarding the wellbeing of every individual. The basis of high incidence of morbidity and mortality, in the human race is mostly characterized by vitamin deficiency, which has been traced to great level of ignorance among others. Information requires a medium and a major source of it in this advent of advancement in technology is the web. Currently, the web is majorly syntactic and the keyword based search result is characterized by ambiguous contents, only readable by humans. Such challenge is eminent in vitamin domain related information searches, posed with several human readable web pages, of which a lot time is spent jogging on the diffused web contents for most relevant information. Based on this, vitamin consumption has been restricted to just a few, while the body system weeps over the deficiencies, resulting in one ailment to the other. This work takes into consideration the benefits advantage of the ongoing web evolution of adding semantics to Web resources and the available tools. As such is implemented with the use of ontology (VIDEMO), a knowledge representation formalism, which allows machine readable descriptions to be added to the vitamin domain concepts or data. This enables a semantic search with precise and accurate results through the developed web application.