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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ri-123456789-316602021-03-07T08:49:40Z A semantic search component for smart city applications Silva, Larysse Savanna Izidio da Cacho, Nelio Alessandro Azevedo http://lattes.cnpq.br/6464969318376794 http://lattes.cnpq.br/4635320220484649 Batista, Thais Vasconcelos http://lattes.cnpq.br/5521922960404236 Lopes, Frederico Araújo da Silva http://lattes.cnpq.br/9177823996895375 Galante, Renata http://lattes.cnpq.br/3867942762661182 Smart cities Linked Data Semantic Web Semantic Query 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. Cidades inteligentes são compostas por diversos sistemas interconectados, destinados a promover uma melhor gestão dos recursos urbanos e naturais das cidades, contribuindo assim para a melhoria da qualidade de vida dos cidadãos. Os dados são de grande importância para as cidades inteligentes, pois contribuem significativamente para o processo de tomada de decisões estratégicas para o espaço urbano. Contudo, tal cenário é tipicamente caracterizado pela alta heterogeneidade das fontes de dados tornando a pesquisa de informações significativas mais complexa. Para lidar com essas características, ontologias têm sido utilizadas em conjunto com o Linked Data para representar semanticamente as informações, inferir novas informações dos dados existentes e integrar efetivamente as informações conectadas de diferentes fontes. Esse cenário requer uma estratégia de gerenciamento de dados que inclua mecanismos eficientes para suportar a filtragem de informações e a descoberta de conhecimento. Nesse contexto, este trabalho propõe um componente de busca a dados semânticos baseado na representação de informações georreferenciadas em cidades inteligentes por meio de ontologias e dados vinculados. O componente de busca semântica permite inferir informações novas e não explícitas de dados e relacionamentos existentes. Experimentos foram realizados com dados de cidades inteligentes do mundo real para verificar a eficácia e a eficiência do componente de busca semântica proposto. 2021-03-03T18:27:50Z 2021-03-03T18:27:50Z 2020-11-05 masterThesis SILVA, Larysse Savanna Izidio da. A semantic search component for smart city applications. 2020. 75f. Dissertação (Mestrado em Sistemas e Computação) - Centro de Ciências Exatas e da Terra, Universidade Federal do Rio Grande do Norte, Natal, 2020. https://repositorio.ufrn.br/handle/123456789/31660 pt_BR Acesso Aberto application/pdf Universidade Federal do Rio Grande do Norte Brasil UFRN PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO |
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pt_BR |
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Smart cities Linked Data Semantic Web Semantic Query |
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Smart cities Linked Data Semantic Web Semantic Query Silva, Larysse Savanna Izidio da A semantic search component for smart city applications |
description |
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. |
author2 |
Cacho, Nelio Alessandro Azevedo |
author_facet |
Cacho, Nelio Alessandro Azevedo Silva, Larysse Savanna Izidio da |
format |
masterThesis |
author |
Silva, Larysse Savanna Izidio da |
author_sort |
Silva, Larysse Savanna Izidio da |
title |
A semantic search component for smart city applications |
title_short |
A semantic search component for smart city applications |
title_full |
A semantic search component for smart city applications |
title_fullStr |
A semantic search component for smart city applications |
title_full_unstemmed |
A semantic search component for smart city applications |
title_sort |
semantic search component for smart city applications |
publisher |
Universidade Federal do Rio Grande do Norte |
publishDate |
2021 |
url |
https://repositorio.ufrn.br/handle/123456789/31660 |
work_keys_str_mv |
AT silvalaryssesavannaizidioda asemanticsearchcomponentforsmartcityapplications AT silvalaryssesavannaizidioda semanticsearchcomponentforsmartcityapplications |
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1773959985010573312 |