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.

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,…

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…

El acuífero del Valle de Toluca, localizado en el Altiplano Mexicano, se encuentra sometido a una intensa explotación para cubrir las necesidades de agua en el propio valle, así como parte de las de Ciudad de México. Los altos niveles…

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…

Se presenta un control automático simple para aplicaciones de caracterización óptica de materiales usando la técnica Z-scan. En particular, se enfatiza el proceso de automatización. Para este propósito, se usó un puerto de comunicación de I/O de una tarjeta de…

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…