Unsupervised Acquisition of Desktop Application Taxonomies

This paper presents a novel approach for automatically extracting taxonomies of desktop applications from descriptive eventlogs, unobtrusively collected from the user's computational environment. By using a linguistically inspired clustering technique on application transitions we are able to g...

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Bibliographic Details
Published in2008 Eighth IEEE International Conference on Advanced Learning Technologies pp. 957 - 959
Main Author Lokaiczyk, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2008
Subjects
Application software
Concrete
Desktop Applications
Electronic learning
Law
Legal factors
Manuals
Monitoring
Sensor systems
Taxonomies
Taxonomy
Uniform resource locators
Workplace-Embedded E-Learning
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Summary:This paper presents a novel approach for automatically extracting taxonomies of desktop applications from descriptive eventlogs, unobtrusively collected from the user's computational environment. By using a linguistically inspired clustering technique on application transitions we are able to generate groups of applications that are similar towards their purpose. Attributing the application category (e.g. office application) to a desktop application in an unsupervised manner without manual user engagement yields advantages in many different application areas such as process-oriented workplace-embedded (e-)learning systems or performance management and evaluation.
ISBN:9780769531670
0769531679
ISSN:2161-3761
2161-377X
DOI:10.1109/ICALT.2008.18