This paper presents the work we are developing to provide automatic determination of data anomalies. Aims to develop a flexible process, independent of the ...
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This work shows the use of such ontologies and describes the proposed metrics. Keywords: Data Quality, Ontology, Quality Metrics. I. INTRODUCTION. Source ...
This paper presents the work we are developing to provide automatic determination of data anomalies. Aims to develop a flexible process, independent of the ...
The process uses a data quality ontology that references separate data quality, domain and task ontologies to compute measures based on proportions of ...
Ontology learning and rule mining algorithm help to understand the frequent patterns that can be used to assess metrics such as consistency, syntactic validity ...
We present five DQM applications which directly use knowledge provided by domain ontologies. These applications use the ontology structure itself to provide ...
OntoQA evaluates the quality of an ontology on the different dimensions: schema, knowledge base (KB) and class metrics. This method can be used by ontology ...
The use of ontologies allows the knowledge improvement by means of the identification of the interdependencies between costs and benefits and enables different ...
5 days ago · This results in high costs, including labor, time, and software expenses. This paper presents a novel framework that employs an ontology-based ...
To handle these challenges, this paper presents a structured framework to standardise the process of assessing the quality of data and modelling the knowledge ...