Data Cleaning Model for XML Datasets using Conditional Dependencies

Discovering Conditional Functional Dependencies in XML Data

XML data inconsistency has become a serious problem since XML was widely adopted as a standard for data representation on the web. XML-based standards such as OASIS, xCBL and xBRL have been used to report and exchange business and financial information. Such standards focus on technical rather than semantic aspects. XML Functional Dependencies (XFDs) have been introduced to improve XML semantic...

Approximate Functional Dependencies for XML Data

Functional dependencies (FDs) are an integral part of database theory since they are used in integrity enforcement and in database design. Recently, functional dependencies satisfied by XML data (XFDs) have been introduced. In this work approximate functional dependencies that are XFDs approximately satisfied by a considerable part of the XML database are defined and the problem of inferring su...

Removing XML Data Redundancies Using Functional and Equality-Generating Dependencies

We study the design issues of data-centric XML documents where (1) there are no mixed contents, i.e., each element may have some subelements and attributes, or it may have a single value in the form of a character string, but not a mixture of strings and subelements and/or attributes, (2) the ordering of subelements is of no significance. We provide a new definition of functional dependency (FD...

Approximation Measures for Conditional Functional Dependencies Using Stripped Conditional Partitions

Received Apr 11, 2017 Revised May 5, 2017 Accepted May 24, 2017 Conditional functional dependencies (CFDs) have been used to improve the quality of data, including detecting and repairing data inconsistencies. Approximation measures have significant importance for data dependencies in data mining. To adapt to exceptions in real data, the measures are used to relax the strictness of CFDs for mor...

OWL2 based Data Cleansing Using Conditional Exclusion Dependencies