  One of the great challenges the information society faces is dealing with the
huge amount of information generated and handled daily on the Internet. Today,
progress in Big data proposals attempts to solve this problem, but there are
certain limitations to information search and retrieval due basically to the
large volumes handled the heterogeneity of the information, and its dispersion
among a multitude of sources. In this article, a formal framework is defined to
facilitate the design and development of an environmental management
information system, which works with a heterogeneous and large amount of data.
Nevertheless, this framework can be applied to other information systems that
work with Big data, because it does not depend on the type of data and can be
utilized in other domains. The framework is based on an ontological web-trading
model (OntoTrader), which follows model-driven engineering and ontology-driven
engineering guidelines to separate the system architecture from its
implementation. The proposal is accompanied by a case study, SOLERES-KRS, an
environmental knowledge representation system designed and developed using
software agents and multi-agent systems.
