Data Cleaning Utilizing Ontology Tool
نویسندگان
چکیده
منابع مشابه
An Ontology-Based Approach for Data Cleaning
There is no magic solution for data cleaning. The user has always to specify the cleaning operations to perform. A huge number of operations may have to be specified. Yet, this is the condition to detect and correct the data quality problems successfully. Most of the cleaning operations are generic enough to be applied to different databases. These operations may be limited to databases of the ...
متن کاملEvaluating Ontology Cleaning
Ontology as a discipline of Computer Science has made many claims about its usefulness, however to date there has been very little evaluation of those claims. We present the results of an experiment using a hybrid search system with a significant knowledge-based component to measure, using precision and recall, the impact of improving the quality of an ontology on overall performance. We demons...
متن کاملOntology of Ontology Patterns as Linked Data Integration Tool
The paper present preview of ontology of ontology design patterns and transformation patterns being developed as support tool for emerging ontology design techniques and methodologies. The Linked Data initiative was started by Tim Berners-Lee as an architectural vision for the Semantic Web. It explores the idea of Semantic Web as puting emphasis on making links so both people and machines can e...
متن کاملOntology Based Data Validation and Cleaning: Restructuring Operations for Ontology Maintenance
Data validation and cleaning are integral processes of the data qualitymanagement cycle. Domain specific knowledge is needed to detect and correct semantic errors. Ontologies can be used to represent valid and invalid attribute value combinations to detect and correct invalid data. We introduce reorganization operations formaintaining such an ontology in the data quality management cycle.
متن کاملResearch Statement Data Cleaning Algorithmic Data-cleaning Techniques
With the increasing amount of available data, turning raw data into actionable information is a requirement in every field. However, one bottleneck that impedes the process is data cleaning. Data analysts usually spend over half of their time cleaning data that is dirty — inconsistent, inaccurate, missing, and so on — before they even begin to do any real analysis. It is a time consuming and co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Grid and Distributed Computing
سال: 2016
ISSN: 2005-4262,2005-4262
DOI: 10.14257/ijgdc.2016.9.7.05