NoSQL database models and data store systems have emerged in response to the needs of
new big data applications. A common feature of these logical models is the schemaless …

Distributed databases and data transformation mechanisms are highly relevant to Business
Intelligence and Data Analytics. Most enterprise systems today have multiple and distributed …

In this paper we introduce a novel approach to conceptual modeling for XML schemas.
Compared to other approaches, it allows for modeling of a whole family of XML schemas …

XML is a popular format for data representation. As the amount of data represented in XML
grows, it is necessary to concentrate on the process of modeling XML schemes of the XML …

Recently XML is the standard format used for the exchange of data between information
systems and is also frequently applied as a logical database model. If we use XML as a …

In the latest years many different models for semi structured data have been proposed; most
of them, however, are too specific to allow immediate comparison with other models, and do …

In order to increase enterprise performance, economics paradigms focus, now more than
ever, on how to better manage information. The modern architecture of information systems …

XML has become the de facto standard for representing and interchanging information in
web-based applications. And conceptual modeling approaches, such as EER and UML …

Conceptual modeling of XML data was made easier with the introduction of the XSEM
model, which utilizes the MDA (Model-driven architecture) ideas of multi-level modeling …

This paper has proposed a Graph-semantic based conceptual model for semi-structured
database system, called GOOSSDM, to conceptualize the different facets of such system in …