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

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

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 International Conference on Collaboration Technologies and Systems (CTS)
Publisher	IEEE Press
Pages	337-344
DOIs	https://doi.org/10.1109/CTS.2014.6867586
Publication status	Published - 2014
Externally published	Yes
Event	2014 International Conference on Collaboration Technologies and Systems, CTS 2014 - Minneapolis, United States Duration: 19 May 2014 → 23 May 2014 http://cts2014.cisedu.info/

Conference

Conference	2014 International Conference on Collaboration Technologies and Systems, CTS 2014
Abbreviated title	CTS 2014
Country/Territory	United States
City	Minneapolis
Period	19/05/14 → 23/05/14
Internet address	http://cts2014.cisedu.info/

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10.1109/CTS.2014.6867586

Cite this

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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, pp. 337-344, 2014 International Conference on Collaboration Technologies and Systems, CTS 2014, Minneapolis, United States, 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

Abstract

Conference

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Cite this