Data integration is the process of unifying data sharing some common semantics but are originated from unrelated sources. In our work we consider these sources are autonomous, heterogeneous and they are physically distributed. These three characteristics make the integration task…

The star model, broadly used in data warehouse modeling, is a logical model, so its representation is strongly dependent on the database technology used for its implementation, usually relational. The method recommended for designing a dimensional system would be the…

Ontologies serve as a mean to establish a conceptually concise basis for communicating knowledge for many purposes. Within the information integration area, ontologies are useful to solve heterogeneity problems. They provide a set of knowledge terms, including the vocabulary, the…

Different types of middleware exist to facilitate the integration of software running on heterogeneous computing platforms. Message Oriented Middleware (MOM), for instance, enables the interaction between heterogeneous applications by exchanging packets of structured data (messages) through communication channels. The core…

The evaluation of metric of performance is useful in the evaluation of protocols, in the improvement of applications, in the content choice, among others. The obtaining of these metrics, it continues being a complex task because most of the time…

This work presents a methodology with basic steps to follow before developing Interorganizational Information Systems (IOSs), which constitute the support for the execution of business processes (BPs) in new structural forms made up of various organizations, called Interorganizational Networks (IONs).…

The main purpose of this book is to present the contents of an introductory course in databases. In this regard, one can find a number of material validity and recognized different scopes. This work is developed under the guidelines that…

The genetic algorithms have seen applied in knowledge discovery and specially for discovering association rules. In this paper, we explore the use of di erent rule quality measures in the tness function in a genetic algorithm for discovering association rules.…

Manipulating and retrieving multimedia data has received increasing attention with the advent of cloud storage facilities. The ability of querying by similarity over large data collections is mandatory to improve storage and user interfaces. But, all of them are expensive…

Clustering of short texts is an important research area because of its applicability in information retrieval and text mining. To this end was proposed CLUDIPSO, a discrete Particle Swarm Optimization algorithm to cluster short texts. Initial results showed that CLUDIPSO…