Ontological Semantic Agent in the Context of Big Data: a tool applied to Information Retrieval in Scientific Research

Autor(es)

Coneglian, Caio Saraiva ; Fusco, Elvis ; Santarem Segundo, Jose Eduardo ; Pereira Junior, Valdir Amancio ; de Castro Botega, Leonardo ; Rocha, A ; Correia, AM ; Adeli, H ; Reis, LP ; Teixeira, MM

• Tipo de documento: Artigo Científico
• Fonte: NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1; v. 444, p. 10-pg., 2016-01-01.

Resumo

The large increase in the creation and dissemination of data on the Internet can offer information of high value-added to organizations. This information can be provided by heterogeneous databases that may not be considered relevant by most systems, e.g., social media data, blogs and more. If organizations would use such sources, they could build a new management vision known as Competitive Intelligence. In the context of architectures of Information Retrieval, this research aims on implementing a semantic extraction agent for the 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. (AU)

• Processo FAPESP: 15/01517-2 - Definição de modelo de recuperação da informação para repositórios digitais baseados em tecnologias da web semântica
• Beneficiário: Caio Saraiva Coneglian
• Modalidade de apoio: Bolsas no Brasil - Mestrado