article · 1998

Quality-driven Source Selection using Data Envelopment Analysis

Felix Naumann, Johann Christoph Freytag, Myra Spiliopoulou

Cited by 0Abstract and details only

Abstract

Due to the development of the Internet there is an increasing number of information sources available to users. This makes it necessary to query only the most appropriate sources. The information quality offered by these sources can and must be a criterion for source selection. However, information quality has many dimensions, both subjective and objective, and it is thus difficult to directly compare sources with one another or give a ranking of sources. We propose to use Data Envelopment Analysis (DEA) to solve these shortcomings. This method does not directly compare sources, but focuses on individual sources, determining their efficiency in terms of information quality and cost. We adapt DEA to the task of source selection and discuss its advantages over other methods. Furthermore, we expand the model to include cost criteria and suggest a solution to additionally select sources in a query-dependent way.

Cite this paper

APA 7

Naumann, F., Freytag, J. C., & Spiliopoulou, M. (1998). Quality-driven Source Selection using Data Envelopment Analysis.

MLA 9

Naumann, Felix, et al. “Quality-driven Source Selection using Data Envelopment Analysis.” 1998.

Chicago

Naumann, Felix, Johann Christoph Freytag, and Myra Spiliopoulou. 1998. “Quality-driven Source Selection using Data Envelopment Analysis.”

Harvard

Naumann, F., Freytag, J.C. and Spiliopoulou, M. (1998) ‘Quality-driven Source Selection using Data Envelopment Analysis’.

BibTeX

@article{naumann1998quality,
  title = {{Quality-driven Source Selection using Data Envelopment Analysis}},
  author = {Naumann, Felix and Freytag, Johann Christoph and Spiliopoulou, Myra},
  year = {1998}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.