Data Semantic Extraction applied to the Higher Education Institutions

Resumo

In the context of architectures of Information Retrieval, this research aims on implementing a semantic extraction agent for higher education institutions Web environment, allowing information finding, storage, processing and retrieval, such as those from the Big Data context produced by several informational sources on the Internet, serving as a basis for the implementation of information environments for decision support. Using this method, it will be possible to verify that the agent and ontology proposal addresses this part and can play the role of a semantic level of the architecture.