Authors:
Tobias Swoboda
1
;
Michael Kaufmann
2
and
Matthias L. Hemmje
1
Affiliations:
1
University of Hagen, Germany
;
2
Lucern University of Applied Sciences and Arts, Switzerland
Keyword(s):
Text Categorization, Evaluation, Architecture, Cloud Cost Analysis, Internet of Services, XaaS, Cloud Services.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Cloud Computing Enabling Technology
;
Cloud Cost Analysis
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Internet of Services
;
Mobile Software and Services
;
Ontologies and the Semantic Web
;
Services Science
;
Software Agents and Internet Computing
;
Software Engineering
;
Software Engineering Methods and Techniques
;
Telecommunications
;
Web Services
;
Wireless Information Networks and Systems
;
Xaas
Abstract:
Manually annotating content-based categories to existing documents is a time-consuming task for human domain experts. In order to ease this effort, automated text categorization is used. This paper evaluates the state of the art in cloud-based text categorization and proposes an architecture for flexible cloud-based classification and annotation support, leveraging the advantages provided by cloud-based architectures.