Assessment Methods for Information Quality Criteria

By Felix Naumann, Claudia Rolker. IQ, 2000

350 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Epidemiology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/fd4d4bb9b4aaccc83ab01f753e2cf44b2a3d3be8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Janice M. Burn
2. Shirlee-ann Knight
3. Felix Naumann
4. Christian Bizer
5. Tom Heath

In Epidemiology

1. Janice M. Burn
2. Shirlee-ann Knight
3. Felix Naumann
4. Jorge Bernardino
5. Seyma Nur Soydemir
6. Nuno Laranjeiro

In Management Science and Operations Research

1. Janice M. Burn
2. Shirlee-ann Knight
3. Felix Naumann
4. Jorge Bernardino
5. Seyma Nur Soydemir
6. Nuno Laranjeiro
7. You-De Tseng
8. Chien Chin Chen

Citations in the corpus

• Quality-Driven Query Answering for Integrated Information Systems (2002, background): “This chapter benefits from contributions in [96] and [97].”
• A Survey on Data Quality: Classifying Poor Data (2015, background): “Information quality criteria (e.g., reputation, completeness, accuracy) are discussed in [34] and organized in three classes: 1) Subject, which comprises criteria that can only be scored by individual users, based on their knowledge; 2) Object, which includes criteria that are determined by the…”
• Developing a Framework for Assessing Information Quality on the World Wide Web (2005, methodology): “By grouping the entities and factors involved with both IQ and IR into Subject , Object and Process Criteria, Naumann and Rolker (2000) are then able to easily identify IQ criterion and assign assessment methods to them.”