An IDSS supported by semantic technology: A study for pig disease diagnosis management

In this paper, we concentrate on how to apply semantic technology (ST) to intelligence decision-making support system (IDSS). Due to the limitations of traditional IDSS with relational database and the superiority of ST in knowledge presentation, we establish a ST-based IDSS aimed at combining IDSS with ST which integrates expert knowledge with RDF triples. Pig disease diagnose is chosen as an example to show the build procedure of the ST-based IDSS. There are three contributions in this paper including: 1) The paper proposes a framework of ST-based IDSS followed by the details of its construction for pig disease control. 2) A pig disease semantic database relied on pig disease semantic ontology and semantic inference is established. 3) A semantic query system based on the pig disease semantic database is developed. As is demonstrated by system verification, the system can give out disease diagnosis suggestions in a timely and effectively manner based on the information provided by users, such as pig´s physical conditions, symptoms or environmental information.