Towards a quality model for semantic IS standards

Abstract

This research focuses on developing a quality model for semantic Information System (IS) standards. A lot of semantic IS standards are available in different industries. Often these standards are developed by a dedicated organization. While these organizations have the goal of increasing interoperability, there is no way to determine the quality of such a standard. This research will provide quality attributes relevant to semantic IS standards. A theoretical grounded model is created and validated by 19 experts through a survey. Based on these findings a quality model to assess the quality of semantic IS standards has been constructed.

Evaluation criteria for information quality research

“…A typical example of "constructs" are the use of IQ dimensions, which are a specific vocabulary that describe how IQ problems can be categorized and distinguished (see for example (Wang and Strong, 1996) and (Levitin and Redman, 1995)). For the second category, an example of a "model" is given by Folmer and Soest who propose a model for semantic information system standards (Folmer and Soest, 2012). "Methods" are common in the IQ domain and include the various methodologies for assessment and improvement of IQ (see (Batini et al, 2009) for examples), and more specific algorithms which, for example, can detect data errors (see for example (Meda, Sen and Bagchi, 2010)).…”

Quality of semantic standards

“…The builds 0.3 and 0.4 have been used for evaluation studies as described in Chapter 10. Build 0.5 focused on indentifying applicable measurable concepts from the data quality domain by surveying the relevance of the concepts to semantic standards (Folmer & Van Soest, 2011). The first five (from 0.1 up to 0.5) builds of the instrument were all explorative in nature and did not have strict version management.…”