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

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

The identify of this publication is a pun at the use of the preposition “onto” with the purpose of recalling “Ontology”, the time period usually 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 yr 2013 celebrates the 20th anniversary of the realm vast internet. the easy community of hypermedia has reworked the area 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 because of the mixing of pervasive applied sciences in a position to sensing the environment.

The most vital contribution of IoT regards the opportunity of permitting extra effective machine-to-machine cooperation. To such goal, ontologies symbolize the main compatible instrument to allow move and comprehension of knowledge between laptop functions, even these designed and built via unrelated humans in numerous places.

This ebook proposes a suite of contributions illustrating various purposes following those instructions and which are the results of genuine reports constructed within the context of study projects.

Show description

Read or Download Advances onto the Internet of Things: How Ontologies Make the Internet of Things Meaningful PDF

Best internet books

The Revolution Will be Digitised

On the centre sits the institution: governments, enterprises and robust people who have extra wisdom approximately us, and extra energy, than ever sooner than. Circling them is a brand new new release of hackers, pro-democracy campaigners and net activists who now not settle for that the institution should still run the express.

The Wikipedia Revolution: How a Bunch of Nobodies Created the World's Greatest Encyclopedia

"Imagine a global during which each individual in the world is given unfastened entry to the sum of all human wisdom. That's what we're doing. "
—Jimmy Wales

With greater than 2,000,000 person articles on every thing from Aa! (a eastern pop workforce) to Zzyzx, California, written by way of a military of volunteer participants, Wikipedia is the #8 web site at the world-wide-web. Created (and corrected) by means of an individual with entry to a working laptop or computer, this extraordinary assemblage of data is turning out to be at an outstanding expense of greater than 30,000,000 phrases a month. Now for the 1st time, a Wikipedia insider tells the tale of the way all of it happened—from the 1st glimmer of an idea to the worldwide phenomenon it's develop into.

Andrew Lih has been an administrator (a relied on person who's granted entry to technical positive factors) at Wikipedia for greater than 4 years, in addition to a typical host of the weekly Wikipedia podcast. within the Wikipedia Revolution, he information the site's inception in 2001, its evolution, and its awesome development, whereas additionally explaining its better cultural repercussions. Wikipedia isn't just an internet site; it's an international neighborhood of members who've banded jointly out of a shared ardour for making wisdom free.

that includes a Foreword by means of Wikipedia founder Jimmy Wales and an Afterword that's itself a Wikipedia construction.

Ungeplante Käufe im Internet

Michael Kempe entwickelt eine Kaufentscheidungstypologie, welche auch die neueren Typen ungeplanten Kaufens berücksichtigt und weist diese auf foundation einer Online-Befragung für das Online-Shopping empirisch nach.

Internet 2002: Deutschland und die digitale Welt: Internetnutzung und Medieneinschätzung in Deutschland und Nordrhein-Westfalen im internationalen Vergleich

Diese für Deutschland und das Bundesland Nordrhein-Westfalen repräsentative Internet-Studie analysiert im globalen Zusammenhang die Profile und Verhaltensweisen von Nutzern und Nichtnutzern und die gesellschaftlichen Wirkungen, die die Durchsetzung des Internets und dessen Nutzung mit sich brachte.

Extra resources for Advances onto the Internet of Things: How Ontologies Make the Internet of Things Meaningful

Sample text

After the preprocessing of the data we suggest the use of a probabilist model to estimate if the detected changes in sensor measurements can be attributed to users’ actions. The choice of using such a model depends on the fact that we are bound to reason about uncertain knowledge. The interest variables and their possible states are modelled as nodes of a dynamic Bayesian network. The nodes are connected with directed links representing the influence famong the nodes where the influence of parent nodes on a variable X i is quantified by means of conditional probabilities P(X i |Par entsV alues) represented in opportune tables associated to each node.

1 Pre-Processing At this phase, the observed variables trends are analyzed to recognize those events that can be ascribed to human intervention. First of all the data collected by the sensors are preprocessed in order to to detect anomalies, remove invalid values and estimate missing values. For example the assumption of a time correlation in the data can be exploited for the estimation of missing values by means of a linear interpolation between preceding and subsequent observations, while the assumption of spatial correlation in the readings of sensors located in small indoor environments can be profitably employed in order to detect outliers, and to replace them with the combination of neighbour sensors readings.

Two parts were used as a training set for the HMM, while the remaining one was used for verification. The system is able to detect activities with a minimum duration of 10 s and it updates the parameters whenever the recognizer uncertainty exceeds a threshold fixed at 20 %. The experimental evaluation revealed that adaptive behavior makes the proposed recognizer more precise, as shown in Fig. 6. The uncertainty threshold also affects the average number of recognition errors (see Fig. 7). By increasing this threshold, average recognition errors also go up because the system will question the user less frequently and will consequently correct the inference errors less frequently (see Fig.

Download PDF sample

Rated 4.46 of 5 – based on 7 votes

admin