图 书 馆
语义产品存储器：智能对象的一个交互式黑盒The Semantic Product Memory: An Interactive Black Box for Smart Objects |
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| 课程网址: | http://videolectures.net/eswc2010_wahlster_tspm/ |
| 主讲教师: | Wolfgang Wahlster |
| 开课单位: | 德国人工智能研究中心 |
| 开课时间: | 2010-06-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | A semantic product memory stores a diary of an individual physical object in a persistent way on an embedded sensor system that is networked by wireless communication to a smart environment. The product monitors itself and its environment. Semantic technologies based on OWL ontologies guarantee interoperability of the product memory across the complete supply chain and lifecycle of smart objects and enable end user access to the product’s lifelog. In this talk, we present the layered architecture together with the representation and inference formalisms used in our SemProM project, funded by the German Ministry of Education and Research (BMBF) with 16 Million Euro. SemProM goes well beyond traditional RFID technology and is the basis for intelligent automation in smart factories, event-driven logistics as well as smart retail and after-sales. Collecting information logs about objects in such smart environments and making it available - for example about an object’s origin, location, movements, physical properties, environmental conditions, usage history, as well as warranty and maintenance data - can help enterprises to improve their business processes and create new ones. Existing business process models become more accurate since information taken directly from the point of action can be used to manage or adapt processes in real time for the emerging Internet of Things. We show how such embedded “black box” event recorders can transform everyday objects like cars, circuit boards, pizzas and drug blister packs into smart products. We show how consumers of smart products can access the lifelogs of products by NFC-enabled smartphones using SemProM’s browser and track the complete history of a product in multimodal dialogues. A role-based access control mechanism ensures privacy and security of the SemProM product memories. We will discuss fully operational pilot implementations of semantic product memories developed in the SemProM consortium together with major German companies like SAP, BMW, Siemens, DHL, Globus Retail and Kohl Pharma. |
| 关 键 词: | 传感器系统; 生命周期; 智能产品 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-07：lxf |
| 阅读次数: | 72 |