Year: 1998
Type: article
Abstract: s show a varying quality of information and a varying quality of access, i.e., varying query cost. Given a query and a set of information sources, that are capable of answering the query to some extent, we address the problem of deciding which of the sources to query. Source selection is usually tackled in a straightforward manner: Some selector component determines the most relevant sources using statistical information. We maintain that there is more to finding the best sources than counting the appearances of certain words. Quality of a source and the quality of the documents it contains must be measured with more than one criterion or quality dimension. Source selection is thus a multi-attribute decision making problem. 2 The Data We have chosen three distinct quality criteria from a collection empirically gathered by Wang and Strong (1996) to define information quality. To these quality criteria come two cost criteria, which we find to be the most important for WWW
DOI: 10.18452/9225
Author: Naumann, Felix
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2740600744