Un sistema semántico para la gestión de información de egresados

This article proposes the introduction of emerging technologies based on semantics, combined with multi-agent systems, information retrieval techniques and reasoning processes, to automate and facilitate the processes of identification, extraction, storage and retrieval of personal graduate information associated with an educational institution, oriented to obtain accreditation. Thereby implementing a system composed of four elements: a knowledge module and three agents (Crawler, Wrapper, Semantics and Interface). Key word — multi-agent, graduate information, storage, information retrieval, semantic web.