Data Integration Framework to Collect Data from OT/IT Systems

Why Collect Retrospective Data ?

LDIF - Linked Data Integration Framework

The LDIF Linked Data Integration Framework can be used within Linked Data applications to translate heterogeneous data from the Web of Linked Data into a clean local target representation while keeping track of data provenance. LDIF provides an expressive mapping language for translating data from the various vocabularies that are used on the Web into a consistent, local target vocabulary. LDIF...

CORBA Based Data Integration Framework

The evolving developments of the recent decades in information management have resulted in a situation where information is stored and managed by a large variety of systems around the globe. The growing requirement for information support to the globalised social and economic forces makes efficient and effective availability of distributed information and the correlation of relevant data a pres...

Big Data Quality: From Content to Context

Over the last 20 years, and particularly with the advent of Big Data and analytics, the research area around Data and Information Quality (DIQ) is still a fast growing research area. There are many views and streams in DIQ research, generally aiming at improving the effectiveness of decision making in organizations. Although there are a lot of researches aimed at clarifying the role of BIG data...

A comprehensive semantic framework for data integration systems

A data integration system provides the user with a unified view, called global schema, of the data residing at different sources. Users issue their queries against the global schema, and the system computes answers to queries by suitably accessing the sources, through the mapping, i.e., the specification of the relationship between the global schema and the sources. Since sources are in general...