Developing a Framework for Assessing Information Quality on the World Wide Web
By Shirlee-ann Knight, Janice M. Burn. Informing Sci. Int. J. an Emerg. Transdiscipl., 2005
489 citations recorded by the source corpus.
Subfields: Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/a7fb08f4cf1aa8ea8b7af35b05650be7aee787d9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Jens Lehmann
- Sören Auer
- Andrea Maurino
- You-De Tseng
- Chien Chin Chen
- Amrapali Zaveri
- Gerhard Weikum
- Fabian M. Suchanek
In Management Science and Operations Research
Citations in the corpus
- Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber-physical convergence (2012, unknown): “The area of information quality has long been studied in the areas of enterprise data management, dating back to the ’90s and the work of RichardWang and his team [76,77], andmore recently within the context ofWeb searches [78].”
- Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo (2017, unknown): “Klein (2002) analyzed the contextual quality of information in the World Wide Web (WWW), and Knight and Burn (2005) also developed metrics for information retrieval from WWW based on Wang and Strong’s (1996).”
- Data quality: A survey of data quality dimensions (2012, background): “Availability Extent to which information is physically accessible [23].”
- Quality assessment for Linked Data: A Survey (2015, methodology): “Data quality is commonly conceived as fitness for use [33,35,63] for a certain application or use case.”
- Quality evaluation of product reviews using an information quality framework (2011, methodology): “Knight and Burn [17] proposed a methodology for developing a quality-based information system.”