Travis Street

Abstract for ISPOR Europe 2022 poster presentation. Social media are seldom explored in animal health despite the potential for insights into pet owners’ perceptions. Owners often seek information and advice online before seeking veterinary care. The aim was to investigate owners’ perceptions of feline allergic skin disease using Social Asset, a proof-of-concept social listening (SL) platform to create a dataset concerning information-seeking behaviours.

The open data market size is estimated at €184 billion and forecast to reach between €199.51 and €334.21 billion in 2025. In this paper, we conceptualise the semantic data innovation platform, which will be able to answer inter-disciplinary questions via semantic reasoning over open data. We use 750 open animal healthcare datasets to exemplify this work, covering mainly poultry, swine, ruminants, and other livestock, which are complemented by open data from complementary domains, such as geographic location, medicine and virology. We aggregate the domain knowledge (classes) and enable the logical links (properties) between these classes. The prototype encapsulates the complexity of animal healthcare knowledge into ontology, which can answer complex questions using semantic reasoning on the datasets (answer-as-a-service).