Linked Services for Enabling Interoperability in the Sensing Enterprise

Thoma, Matthias; Antonescu, Alexandru-Florian; Mintsi, Theano; Braun, Torsten

doi:10.1007/978-3-642-36796-0_12

Cited by 11 publications

(6 citation statements)

References 11 publications

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“…According to Thoma et al, (2013), two recent technologies now permit the SE concept to become a reality: the real-time analysis of large quantities of data and sensors networks that are beginning to complement the already existing RFID technology.…”

Section: "Sensing Enterprises" and The Internet Of Things (Iot)mentioning

confidence: 99%

Using the Internet of Things in a Production Planning Context

Alarcón¹,

Pérez²,

Boza³

2016

Braz. J. of Operations & Production Manag.

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One of the most novel concepts that has been applied to companies in recent years is “Sensing Enterprises”. This concept implies a drastic change in the way companies operate. Within the framework of this concept, another necessary and complementary concept arises, the so-called “Internet of Things” concept. It seems evident that the Internet of Things can generally help improve the function- ing of the processes undertaken in companies, particularly one of the key proc- esses; the production planning process. Despite being able to find abundant infor- mation on both themes, and the apparent relevance that using the Internet of Things could have for the production planning process, no works that have jointly studied these matters were found. To bridge this gap, the present work intends to reflect on how the characteristics and advantages of the Internet of Things can be put to good use in the production planning process.

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Section: "Sensing Enterprises" and The Internet Of Things (Iot)mentioning

confidence: 99%

Using the Internet of Things in a Production Planning Context

Alarcón¹,

Pérez²,

Boza³

2016

Braz. J. of Operations & Production Manag.

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“…A paradigm introduced by the FInES (Future Internet Enterprise Systems) cluster of projects [17] to refer to an enterprise making decisions by using multi-dimensional information captured through physical and virtual objects in its environment, and providing added value information to enhance its global context awareness. In other words, this notion particularly focuses on enriching enterprises' context awareness through intelligent, interconnected, and interoperable smart components and devices that power enterprise systems, making them responsive to events in real time and aiming at reaching seamless transformation of (raw) data to (tailored) information and (experienced) knowledge [18].…”

Section: Sensing Enterprisementioning

confidence: 99%

Collaborative Systems for Smart Environments: Trends and Challenges

Camarinha-Matos¹

2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Collaborative systems will form the warp for smart networked environments wherein humans, organizations, intelligent agents, and devices collaborate. The smart environments of near future will be context sensitive systems within which the physical world is richly and transparently interwoven with sensors, actuators, and computational elements that seamlessly embed everyday objects and interconnect them through networks. Modeling, design, and development of collaborative systems in this context will support a large number of emerging applications including security, care and assistance, transportation, construction, sustainability and energy management, education, government, and manufacturing. In this context, a brief survey of trends and challenges is presented.

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“…Centralised information processing approaches can deprive real-time enterprise decision making since information is commonly gathered in an a-posteriori fashion (Thoma et al, 2013). Furthermore, centralisation suffers from scalability and fault-tolerance problems which negatively affect information system functionalities and limit their capabilities (Corchado et al, 2012).…”

Section: Decentralisation Of Controlmentioning

confidence: 99%

“…In the context of sensing enterprises Lázaro et al introduced the FASyS (Lázaro et al, 2012), a centralized model for personalized risk management. Moreover, Thoma et al (Thoma et al, 2013) poposed the use of linked services to access sensor devices in order to assure interoperability and connect the shop floor to the top floor. The aforementioned approaches focus on aspects of dynamic service discovery and composition.…”

Section: Relevant Workmentioning

confidence: 99%