Semantic Web is an extension of the current web in which data contained in the web documents are machine-understandable.
On the other hand, Web Services provide a new model of the web in which sites exchange dynamic information on demand.

Ontology mapping involves the task of finding similarities among overlapping sources by using ontologies. In a Federated System in which distributed, autonomous and heterogeneous information sources must be integrated, ontologies have emerged as tools to solve semantic heterogeneity problems. In…

This document describes a research and development project - Semantic Web and Cooperative Problem Solving for Online Communities of Practice. The aim of the project is to build a system supporting Cooperative Problem Solving within the framework of online Communities…

Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they can be used to improve integration…

Defining software requirements is a complex and difficult process, which often leads to costly project failures.
Requirements emerge from a collaborative and interactive negotiation process that involves heterogeneous stakeholders (people involved in an elicitation process such as users, analysts, developers,…

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…

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…

Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…