A methodology for building log of collaboration processes

Claudia Diamantini, Laura Genga, Domenico Potena, Giuseppa Ribighini

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publication2014 International Conference on Collaboration Technologies and Systems (CTS)
PublisherIEEE Press
Pages337-344
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 International Conference on Collaboration Technologies and Systems, CTS 2014 - Minneapolis, United States
Duration: 19 May 201423 May 2014
http://cts2014.cisedu.info/

Conference

Conference2014 International Conference on Collaboration Technologies and Systems, CTS 2014
Abbreviated titleCTS 2014
Country/TerritoryUnited States
CityMinneapolis
Period19/05/1423/05/14
Internet address

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