Scientists are confronted with significant data management problems due to the huge volume and high complexity of environmental data. An important aspect of environmental data management is that data, needed for a process, are not always in the adequate format. In this paper, the authors analyze environmental data structure, and model this data using a semantic-based method. Using this model, they design and implement a framework based on web services for transformation between massive environmental text-based data and relational databases.