Semantic data innovation hubs: answer as a service

Abstract

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).

Semantic sensing for data innovation

“…To answer this research question, the authors use design science methodology and an interdisciplinary research approach to continue the development of a semantic data innovation platform called the Digital Innovation Hub for Animal Health (DIHAH). The present paper extends the paper presented at Competitive Advantage in the Digital Economy (CADE 2022) [12] and reports on the new semantic sensing function as a dynamic capability of the data innovation platform. The major contribution of the present paper is the process of semantic sensing -the first part of dynamic capability of data innovation platforms.…”