An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Standard

An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing. / Rivero-Rodriguez, Alejandro; Pileggi, Paolo; Nykänen, Ossi.

7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). Riga : IEEE, 2015. p. 89-93 (International Conference on Computational Intelligence, Communications and Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Harvard

Rivero-Rodriguez, A, Pileggi, P & Nykänen, O 2015, An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing. in 7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). International Conference on Computational Intelligence, Communications and Networks, IEEE, Riga, pp. 89-93, International Conference on Computational Intelligence, Communication Systems and Networks, 1/01/00. https://doi.org/10.1109/CICSyN.2015.26

APA

Rivero-Rodriguez, A., Pileggi, P., & Nykänen, O. (2015). An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing. In 7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN) (pp. 89-93). (International Conference on Computational Intelligence, Communications and Networks). Riga: IEEE. https://doi.org/10.1109/CICSyN.2015.26

Vancouver

Rivero-Rodriguez A, Pileggi P, Nykänen O. An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing. In 7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). Riga: IEEE. 2015. p. 89-93. (International Conference on Computational Intelligence, Communications and Networks). https://doi.org/10.1109/CICSyN.2015.26

Author

Rivero-Rodriguez, Alejandro ; Pileggi, Paolo ; Nykänen, Ossi. / An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing. 7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). Riga : IEEE, 2015. pp. 89-93 (International Conference on Computational Intelligence, Communications and Networks).

Bibtex - Download

@inproceedings{de7c3515c41d4c0cba266a091632606f,

title = "An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing",

abstract = "The vast increase of personal sensor information is driving the rise in popularity of context-aware applications. Users crave and very often expect tailored services that are based on the users’ context or personal preferences. The users themselves, using forms, often provide such information. An inference solution typically addresses this problem. In this paper, we present and show by way of a real-world example, the first step towards incorporating information of the user’s social networking behavior in the inference task. We define an initial indicator of a particular social phenomenon, called Homophily, and describe how the indicator measures the presence of homophily at certain moments, also capturing the degree to which it is present. Different from existing indicators, ours lends itself to indicating the presence of homophily in a way that is easier to comprehend, so that it may be easily integrated into and reinforce context-aware semantic computing.",

author = "Alejandro Rivero-Rodriguez and Paolo Pileggi and Ossi Nyk{\"a}nen",

year = "2015",

doi = "10.1109/CICSyN.2015.26",

language = "English",

isbn = "9781467370165",

series = "International Conference on Computational Intelligence, Communications and Networks",

publisher = "IEEE",

pages = "89--93",

booktitle = "7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - An Initial Homophily Indicator to Reinforce Context-Aware Semantic Computing

AU - Rivero-Rodriguez, Alejandro

AU - Pileggi, Paolo

AU - Nykänen, Ossi

PY - 2015

Y1 - 2015

N2 - The vast increase of personal sensor information is driving the rise in popularity of context-aware applications. Users crave and very often expect tailored services that are based on the users’ context or personal preferences. The users themselves, using forms, often provide such information. An inference solution typically addresses this problem. In this paper, we present and show by way of a real-world example, the first step towards incorporating information of the user’s social networking behavior in the inference task. We define an initial indicator of a particular social phenomenon, called Homophily, and describe how the indicator measures the presence of homophily at certain moments, also capturing the degree to which it is present. Different from existing indicators, ours lends itself to indicating the presence of homophily in a way that is easier to comprehend, so that it may be easily integrated into and reinforce context-aware semantic computing.

AB - The vast increase of personal sensor information is driving the rise in popularity of context-aware applications. Users crave and very often expect tailored services that are based on the users’ context or personal preferences. The users themselves, using forms, often provide such information. An inference solution typically addresses this problem. In this paper, we present and show by way of a real-world example, the first step towards incorporating information of the user’s social networking behavior in the inference task. We define an initial indicator of a particular social phenomenon, called Homophily, and describe how the indicator measures the presence of homophily at certain moments, also capturing the degree to which it is present. Different from existing indicators, ours lends itself to indicating the presence of homophily in a way that is easier to comprehend, so that it may be easily integrated into and reinforce context-aware semantic computing.

U2 - 10.1109/CICSyN.2015.26

DO - 10.1109/CICSyN.2015.26

M3 - Conference contribution

SN - 9781467370165

T3 - International Conference on Computational Intelligence, Communications and Networks

SP - 89

EP - 93

BT - 7th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN)

PB - IEEE

CY - Riga

ER -

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