C
Clodoveu A. Davis
Researcher at Universidade Federal de Minas Gerais
Publications - 103
Citations - 1954
Clodoveu A. Davis is an academic researcher from Universidade Federal de Minas Gerais. The author has contributed to research in topics: Geographic information system & Geospatial analysis. The author has an hindex of 21, co-authored 99 publications receiving 1820 citations. Previous affiliations of Clodoveu A. Davis include The Catholic University of America & Pontifícia Universidade Católica de Minas Gerais.
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Semantic Granularity in Ontology-Driven Geographic Information Systems
TL;DR: The potential for information retrieval at different levels of granularity inside the framework of information systems based on ontologies, which leads to ontology-driven geographic information systems.
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Inferring the Location of Twitter Messages Based on User Relationships
TL;DR: This article focuses on the problem of enriching the location of tweets using alternative data, particularly the social relationships between Twitter users, and involves recursively expanding the network of locatable users using following‐follower relationships.
Journal ArticleDOI
Ontologies and Knowledge Sharing in Urban GIS
Frederico T. Fonseca,Frederico T. Fonseca,Max J. Egenhofer,Max J. Egenhofer,Clodoveu A. Davis,Karla A. V. Borges +5 more
TL;DR: This paper discusses issues related to the use of ontologies in the development of urban geographic information systems and proposes the creation of software components from diverse ontologies as a way to share knowledge and data.
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Bridging Ontologies and Conceptual Schemas in Geographic Information Integration
TL;DR: This paper proposes a way to link the formal representation of semantics (i.e., ontologies) to conceptual schemas describing information stored in databases, and explains a mapping between a spatial ontology and a geographic conceptual schema.
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OMT-G: An Object-Oriented Data Model for Geographic Applications
TL;DR: OMT-G provides primitives for modeling the geometry and the topology of spatial data, supporting different topological structures, multiple views of objects, and spatial relationships, and includes tools to specify transformation processes and presentation alternatives, thus providing more adequate tools for modeling geographic applications.