Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse

Abstract

Abstract-There are many available methods to integrate information source reliability in an uncertainty representation, but there are only a few works focusing on the problem of evaluating this reliability. However, data reliability and confidence are essential components of a data warehousing system, as they influence subsequent retrieval and analysis. In this paper, we propose a generic method to assess data reliability from a set of criteria using the theory of belief functions. Customizable criteria and insightful decisions are provided. The chosen illustrative example comes from real-world data issued from the Sym'Previus predictive microbiology oriented data warehouse.

Replacing missing values using trustworthy data values from web data sources

“…Furthermore, the adoption of ontology in data quality management reduces extensive involvement of domain expert and data users during data quality assessment and improvement process. Additionally, previous researchers adopted ontology in data quality assessment because its ability to infer and to represent data from heterogeneous data source or data schema [12,14], [31][32][33][34][35]. The adoption of ontology also allowed data quality assessment of large data to be conducted without expert involvement [12,30], [32][33][34].…”

“…The later described the measurement of trust in the data source that the value being retrieved. In this paper, focus is given on data accuracy and data reliability dimensions to measure trust score as our literature review suggested that data accuracy and data reliability is important in measuring trust and has been discussed in most research articles that emphasis trust [6,32], [37][38][39][40].…”

Research on the Web Application Development Pattern and UI Optimization Mode under Data Warehouse Environment

“…Due to a lack of centralized storage management, however, these data can't effectively for the enterprise statistics, analysis and evaluation to offer help. Each time the user needs a digital products of surveying and mapping, start the spatial data warehouse in the integrated data model and metadata model, drawn from surveying and mapping in the database in real time which could be reflected from the following aspects [4][5].…”

Dynamic Trust Scoring of Railway Sensor Information

“…As detailed in Section 2, current quality measurements for sensors are mainly based on scoring reliability either from meta-data [5,7] or ground truth evaluation [3,8]. Other systems include credibility to further improve scoring by com-paring information with other sources [8].…”