Situation recognition and handling based on executing situation templates and situation-aware workflows
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- 作者：Pascal Hirmer ; Matthias Wieland ; Holger Schwarz ; Bernhard Mitschang…
- 关键词：Situation recognition ; IoT ; Context ; Integration ; Cloud computing ; Workflows ; Middleware
- 刊名：Computing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：99
- 期：2
- 页码：163-181
- 全文大小：
- 刊物类别：Mathematics and Statistics
- 刊物主题：Computer Science, general; Information Systems Applications (incl.Internet); Computer Communication Networks; Software Engineering; Artificial Intelligence (incl. Robotics); Computer Appl. in Administ
- 出版者：Springer Vienna
- ISSN：1436-5057
- 卷排序：99
文摘
Today, the Internet of Things has evolved due to an advanced interconnectivity of hardware devices equipped with sensors and actuators. Such connected environments are nowadays well-known as smart environments. Famous examples are smart homes, smart cities, and smart factories. Such environments should only be called “smart” if they allow monitoring and self-organization. However, this is a great challenge: (1) sensors have to be bound and sensor data have to be efficiently provisioned to enable monitoring of these environments, (2) situations have to be detected based on sensor data, and (3) based on the recognized situations, a reaction has to be triggered to enable self-organization, e.g., through notification delivery or the execution of workflows. In this article, we introduce SitOPT—an approach for situation recognition based on raw sensor data and automated handling of occurring situations through notification delivery or execution of situation-aware workflows. This article is an extended version of the paper “SitRS—Situation Recognition based on Modeling and Executing Situation Templates” presented at the 9th Symposium and Summer School of Service-oriented Computing 2015.