Alessandra De Paola (auth.), Salvatore Gaglio, Giuseppe Lo's Advances onto the Internet of Things: How Ontologies Make PDF

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By Alessandra De Paola (auth.), Salvatore Gaglio, Giuseppe Lo Re (eds.)

ISBN-10: 3319039911

ISBN-13: 9783319039916

ISBN-10: 331903992X

ISBN-13: 9783319039923

The name of this ebook is a pun at the use of the preposition “onto” with the purpose of recalling “Ontology”, the time period ordinarily followed within the laptop technological know-how neighborhood to point the research of the formal specification for organizing knowledge.

In the sector of information engineering, Ontologies are used for modeling strategies and relationships on a few domain.

The 12 months 2013 celebrates the 20 th anniversary of the realm vast internet. the easy community of hypermedia has reworked the realm of communications with huge, immense implications at the social relationships. in spite of the fact that, conventional world-wide-web is at present experiencing a demanding evolution towards the net of items (IoT), this day possible due to the combination of pervasive applied sciences able to sensing the environment.

The most vital contribution of IoT regards the potential for permitting extra effective machine-to-machine cooperation. To such objective, ontologies signify the main compatible device to allow move and comprehension of knowledge between laptop functions, even these designed and constructed through unrelated humans in numerous places.

This publication proposes a set of contributions illustrating varied purposes following those instructions and which are the results of genuine reports constructed within the context of study projects.

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Additional info for Advances onto the Internet of Things: How Ontologies Make the Internet of Things Meaningful

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Data Eng. 20(8), 1082–1090 (2008) A Fuzzy Adaptive Controller for an Ambient Intelligence Scenario Alessandra De Paola, Giuseppe Lo Re and Antonio Pellegrino Abstract The definition of effective energy saving strategies capable of satisfying users’ requirements for environmental wellness is a complex task that requires the definition of well-tuned optimization algorithms. Sensory information depends on the environments observed, hence the model adopted to describe it should be adaptive and dynamic.

We also design a profiler to predict future user actions in order to allow the system to respond according to the user’s requirements. The remainder of the chapter is organized as follows. Section 2 discusses related research, while Sect. 3 describes the design and implementation of our system, including the formal definition of the concepts of the domain under consideration. The experimental results are reported in Sect. 4 and finally, conclusions are discussed in Sect. 5. 2 Related Works Activity recognition is a growing research area and many different approaches have been proposed.

An analogue approach was described in [5], but unlike [5], our HMM model includes an observable node representing time. Time information is the fulcrum of our system design, since daily routine consists of activities frequently occurring within the same time intervals. Figure 1 shows the HMM adopted here in two sequential time steps. The time node is discrete and it can assume 24 possible values corresponding to the 24 h in a day. 1 Adaptive Activity Recognition Having the model parameters trained using the supervised learning approach, the Viterbi algorithm gives as output the most probable sequence to have generated the observed sensory readings.

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Advances onto the Internet of Things: How Ontologies Make the Internet of Things Meaningful by Alessandra De Paola (auth.), Salvatore Gaglio, Giuseppe Lo Re (eds.)

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