A Semantic Interoperability Approach for Heterogeneous Meteorology Big IoT Data

Abstract

AbstractThe Internet of Things (IoT) devices generate a huge, heterogeneous volume of data that only Big Data can absorb. This data is based on a domain-specific format; this is the first challenge to be addressed by interoperability. The second challenge is using of semantic web technologies to enable the semantic interoperability of heterogeneous Big IoT Data.The objective of this paper is to: (1) Enable data interoperability (2) Facilitate knowledge integration of the common ontology created with other domain ontologies, and sharing them (3) Allow advanced analytics on collected data using Linked Open Data (LOD) initiatives, and define a common communication strategy for the representation, exchange and visualization of knowledge.Farther the paper discusses about our proposed approach and the related research works which includes creating a semantic model and a common ontology that focuses on supporting cross-domain.Moreover, we apply the proposed approach through a case study meteorological domain.KeywordsBig IoT Data (BID)InteroperabilitySemantic web technologiesHeterogeneityLinked Open Data (LOD)