A methodology for building log of collaboration processes

Claudia Diamantini; Laura Genga; Domenico Potena; Giuseppa Ribighini

doi:10.1109/CTS.2014.6867586

A methodology for building log of collaboration processes

Claudia Diamantini, Laura Genga, Domenico Potena, Giuseppa Ribighini

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

4 Citaten (Scopus)

Samenvatting

The analysis of data produced during collaborative activities allows organizations to improve collaboration management. Since people use several collaboration tools, these kind of data are difficult to obtain. Furthermore they are heterogeneous and require an important preprocessing step to be useful. In the present work we introduce a methodology aimed at obtaining a single log with all data related to team activities. To improve process analysis, such data log is semantically enriched by means of a multidimensional taxonomy capable of describing collaboration activities at various abstraction levels. We also introduce a case study to be used throughout the paper as an illustrative example.

Originele taal-2	Engels
Titel	2014 International Conference on Collaboration Technologies and Systems (CTS)
Uitgeverij	IEEE Press
Pagina's	337-344
DOI's	https://doi.org/10.1109/CTS.2014.6867586
Status	Gepubliceerd - 2014
Extern gepubliceerd	Ja
Evenement	2014 International Conference on Collaboration Technologies and Systems, CTS 2014 - Minneapolis, Verenigde Staten van Amerika Duur: 19 mei 2014 → 23 mei 2014 http://cts2014.cisedu.info/

Congres

Congres	2014 International Conference on Collaboration Technologies and Systems, CTS 2014
Verkorte titel	CTS 2014
Land/Regio	Verenigde Staten van Amerika
Stad	Minneapolis
Periode	19/05/14 → 23/05/14
Internet adres	http://cts2014.cisedu.info/

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10.1109/CTS.2014.6867586

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@inproceedings{0c1ee6f2218e44759a1dc8f5a189e2ff,

title = "A methodology for building log of collaboration processes",

abstract = "The analysis of data produced during collaborative activities allows organizations to improve collaboration management. Since people use several collaboration tools, these kind of data are difficult to obtain. Furthermore they are heterogeneous and require an important preprocessing step to be useful. In the present work we introduce a methodology aimed at obtaining a single log with all data related to team activities. To improve process analysis, such data log is semantically enriched by means of a multidimensional taxonomy capable of describing collaboration activities at various abstraction levels. We also introduce a case study to be used throughout the paper as an illustrative example.",

author = "Claudia Diamantini and Laura Genga and Domenico Potena and Giuseppa Ribighini",

year = "2014",

doi = "10.1109/CTS.2014.6867586",

language = "English",

pages = "337--344",

booktitle = "2014 International Conference on Collaboration Technologies and Systems (CTS)",

publisher = "IEEE Press",

note = "2014 International Conference on Collaboration Technologies and Systems, CTS 2014, CTS 2014 ; Conference date: 19-05-2014 Through 23-05-2014",

url = "http://cts2014.cisedu.info/",

}

Diamantini, C, Genga, L, Potena, D & Ribighini, G 2014, A methodology for building log of collaboration processes. in 2014 International Conference on Collaboration Technologies and Systems (CTS). IEEE Press, blz. 337-344, 2014 International Conference on Collaboration Technologies and Systems, CTS 2014, Minneapolis, Verenigde Staten van Amerika, 19/05/14. https://doi.org/10.1109/CTS.2014.6867586

TY - GEN

T1 - A methodology for building log of collaboration processes

AU - Diamantini, Claudia

AU - Genga, Laura

AU - Potena, Domenico

AU - Ribighini, Giuseppa

PY - 2014

Y1 - 2014

N2 - The analysis of data produced during collaborative activities allows organizations to improve collaboration management. Since people use several collaboration tools, these kind of data are difficult to obtain. Furthermore they are heterogeneous and require an important preprocessing step to be useful. In the present work we introduce a methodology aimed at obtaining a single log with all data related to team activities. To improve process analysis, such data log is semantically enriched by means of a multidimensional taxonomy capable of describing collaboration activities at various abstraction levels. We also introduce a case study to be used throughout the paper as an illustrative example.

AB - The analysis of data produced during collaborative activities allows organizations to improve collaboration management. Since people use several collaboration tools, these kind of data are difficult to obtain. Furthermore they are heterogeneous and require an important preprocessing step to be useful. In the present work we introduce a methodology aimed at obtaining a single log with all data related to team activities. To improve process analysis, such data log is semantically enriched by means of a multidimensional taxonomy capable of describing collaboration activities at various abstraction levels. We also introduce a case study to be used throughout the paper as an illustrative example.

U2 - 10.1109/CTS.2014.6867586

DO - 10.1109/CTS.2014.6867586

M3 - Conference contribution

SP - 337

EP - 344

BT - 2014 International Conference on Collaboration Technologies and Systems (CTS)

PB - IEEE Press

T2 - 2014 International Conference on Collaboration Technologies and Systems, CTS 2014

Y2 - 19 May 2014 through 23 May 2014

ER -

A methodology for building log of collaboration processes

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Congres

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