The MASSIF platform: a modular and semantic platform for the development of flexible IoT services

摘要: In the Internet of Things (IoT), data-producing entities sense their environment and transmit these observations to a data processing platform for further analysis. Applications can have notion context awareness by combining this sensed data, or combined data. The processes consist both merging dynamic as well fusing with background historical Semantics aid in task, they proven use integration, knowledge exchange reasoning. Semantic services performing reasoning on integrated knowledge, such profile allow extracting useful information support intelligent decision making. However, advanced combination is still hard achieve. Furthermore, collaboration between semantic allows reach complex decisions. composition collaborative workflows that adapt current context, has not received much attention yet. paper, we present MASSIF, data-driven annotation IoT It integration multiple modular collaborate flexible manner facilitate decision-making processes. Data-driven are enabled letting specify would like consume. After thorough processing, decide share decisions other consumers. By defining consume, operate subset improving efficiency. each integrate consumed its own model, rapid To show strengths platform, two cases detailed thoroughly evaluated.