A semantic search component for smart city applications
Smart cities are composed of several interconnected systems, designed to promote better management of urban and natural resources in cities, contributing to improving the quality of life for citizens. Data is very important for smart cities, as they significantly contribute to the strategic decis...
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| Formato: | Dissertação |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/31660 |
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| Resumo: | Smart cities are composed of several interconnected systems, designed to promote better
management of urban and natural resources in cities, contributing to improving the quality
of life for citizens. Data is very important for smart cities, as they significantly contribute to
the strategic decision-making process for urban space. However, such a scenario is typically
characterized by the high heterogeneity of data sources making the search for significant
information more complex. To deal with these characteristics, ontologies have been used in
conjunction with Linked Data to semantically represent information, infer new information
from existing data and effectively integrate connected information from different sources.
This scenario requires a data management strategy that includes efficient mechanisms to
support information filtering and knowledge discovery. In this context, this work proposes
a semantic search component based on the representation of georeferenced information in
smart cities through ontologies and Linked Data. The semantic search component allows
inferring new, non-explicit information from existing data and relationships. Experiments
were performed with real-world smart city data to verify both effectiveness and efficiency
of the proposed semantic search component. |
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