In this era of big data, as relational databases are inefficient, NoSQL a workable solution for data storage. context, one the key issues is veracity and therefore quality. Indeed, with classic geospatial generally fuzzy even though they stored crisp (perfect data). Hence, if fuzzy, additional complexities appear because complex syntax semantic features such data. The do not offer strict consis...

This paper presents a benchmark for measuring the blocking behavior of schema transformations in relational database systems. As a basis for our benchmark, we have developed criteria for the functionality and performance of schema transformation mechanisms based on the characteristics of state of the art approaches. To address limitations of existing approaches, we assert that schema transforma...

Schema versioning is an indispensable feature for applications using temporal databases and requiring an entire history of data and schema. τXSchema [6] is an infrastructure for constructing and validating temporal XML documents; but any explicit support for XML schema versioning is offered. A τXSchema schema is composed of a conventional XML Schema document annotated with physical and logical ...

The synchronization of views is one of the schema evolution problems and it calls for the rede nition of those views becoming undened after a schema change, in order to keep them still working on the new schema. This problem is particularly di cult for capacity reducing schema changes, when it could be only possible to approximate the existing views. Recently, the use of schema mappings to expr...

In recent years, the notion of body schema has been widely discussed, in particular fields connecting philosophy, cognitive science, and dance studies, as it seems to have bearing across disciplines a fruitful way. A main source this literature is Shaun Gallagher’s distinction between schema—the “pre-noetic” conditions bodily performance—and image—the intentional object—, another Merleau-Ponty’...

In this paper we analyze and discuss schema quality in the schema integration process. In doing so, we apply a framework for evaluating the quality of a conceptual schema (e.g. conceptual database schema). In our analysis we combine quality factors and quality metrics with the schema integration process, which is often described as having four distinct phases: pre-integration, comparison of the...

Schema matching and schema integration are important components of the data sharing infrastructure in Collaborative Networks. In order to achieve more accurate matching and integration results and enhance efficiency, it is required to provide some mechanisms to carry out these processes as automatically as possible. This paper addresses the problems and challenges related to schema matching and...