By Alessandra De Paola (auth.), Salvatore Gaglio, Giuseppe Lo Re (eds.)
The name of this ebook is a pun at the use of the preposition “onto” with the purpose of recalling “Ontology”, the time period often followed within the machine technological know-how group to point the learn of the formal specification for organizing knowledge.
In the sector of data engineering, Ontologies are used for modeling thoughts and relationships on a few domain.
The 12 months 2013 celebrates the 20 th anniversary of the realm broad net. the easy community of hypermedia has reworked the realm of communications with huge, immense implications at the social relationships. even if, conventional world-wide-web is at the moment experiencing a demanding evolution towards the net of items (IoT), this present day possible due to the mixing of pervasive applied sciences in a position to sensing the environment.
The most crucial contribution of IoT regards the potential of allowing extra effective machine-to-machine cooperation. To such objective, ontologies signify the main compatible software to let move and comprehension of data between laptop functions, even these designed and constructed by way of unrelated humans in numerous places.
This publication proposes a suite of contributions illustrating various functions following those instructions and which are the results of genuine stories 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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Another approach can be found in , which describes an ontology-based system for discovering and monitoring patterns of activities of daily living (ADL). Other ontology-based approaches for activity recognition can be found in . Predicting users’ activities is a fundamental task to anticipate user behaviors, because anticipating their actions could improve their comfort and quality of life. User activities are An AMI System for User Daily Routine Recognition and Prediction 35 thus analyzed and processed in order to build a user behavior schema.
Thesis, The University of Texas at Arlington, (2005) 10. : BOnSAI: a smart building ontology for ambient intelligence. In: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (WIMS ’12). ACM, NY, USA (2012) 11. Niezen, G: Ontologies for interaction: enabling serendipitous interoperability in smart environments. JAISE 5(1), 135–137 (2013) 12. , Lpez, J. : How intelligent are ambient intelligence systems? Int. J. Ambient Comput. Intell. (IJACI) 2(1), 66–72 (2010).
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.)