Analyzing Clusters and Constellations: from Untwisting Shortened Links on Twitter Using Conceptual Graphs

Emma Tonkin; Gregory Tourte; Heather D Pfeiffer

Analyzing Clusters and Constellations: from Untwisting Shortened Links on Twitter Using Conceptual Graphs

Emma Tonkin, Gregory Tourte, Heather D Pfeiffer

Department of Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

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Abstract

The analysis of big data, although potentially a very rewarding
task, can present difficulties due to the complexity inherent to such
datasets. We suggest that conceptual graphs provide a mechanism for
representing knowledge about a domain that can also be used as a useful
scaffold for big data analysis. Conceptual graphs may be used as a means
to collaboratively build up a robust model forming the skeleton of a data
analysis project. This paper describes a case study in which conceptual
graphs were used to underpin an exploration of a corpus of tweets relating
to the Transportation Security Administration (TSA). Through
this process we will demonstrate the emerging model built up of the
data landscape involved and of the business structures that underlie the
technical frameworks relied upon by microblogging software.

Original language	English
Pages	58-74
Number of pages	17
Publication status	Published - 30 Jan 2013
Event	20th International Conference on Conceptual Structures (ICCS 2013) - Mumbai, India Duration: 10 Jan 2013 → 12 Jan 2013

Conference

Conference	20th International Conference on Conceptual Structures (ICCS 2013)
Country/Territory	India
City	Mumbai
Period	10/01/13 → 12/01/13

Keywords

Conceptual Graphs
Twitter
Microblogging
models

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Cite this

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T2 - 20th International Conference on Conceptual Structures (ICCS 2013)

AU - Tonkin, Emma

AU - Tourte, Gregory

AU - Pfeiffer, Heather D

PY - 2013/1/30

Y1 - 2013/1/30

N2 - The analysis of big data, although potentially a very rewardingtask, can present difficulties due to the complexity inherent to suchdatasets. We suggest that conceptual graphs provide a mechanism forrepresenting knowledge about a domain that can also be used as a usefulscaffold for big data analysis. Conceptual graphs may be used as a meansto collaboratively build up a robust model forming the skeleton of a dataanalysis project. This paper describes a case study in which conceptualgraphs were used to underpin an exploration of a corpus of tweets relatingto the Transportation Security Administration (TSA). Throughthis process we will demonstrate the emerging model built up of thedata landscape involved and of the business structures that underlie thetechnical frameworks relied upon by microblogging software.

AB - The analysis of big data, although potentially a very rewardingtask, can present difficulties due to the complexity inherent to suchdatasets. We suggest that conceptual graphs provide a mechanism forrepresenting knowledge about a domain that can also be used as a usefulscaffold for big data analysis. Conceptual graphs may be used as a meansto collaboratively build up a robust model forming the skeleton of a dataanalysis project. This paper describes a case study in which conceptualgraphs were used to underpin an exploration of a corpus of tweets relatingto the Transportation Security Administration (TSA). Throughthis process we will demonstrate the emerging model built up of thedata landscape involved and of the business structures that underlie thetechnical frameworks relied upon by microblogging software.

KW - Conceptual Graphs

KW - Twitter

KW - Microblogging

KW - models

M3 - Paper

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Y2 - 10 January 2013 through 12 January 2013

ER -

Analyzing Clusters and Constellations: from Untwisting Shortened Links on Twitter Using Conceptual Graphs

Abstract

Conference

Keywords

Access to Document

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Cite this