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public:research [2016/09/08 22:35] clodoveu [Geographic Data Modeling] |
public:research [2016/09/08 23:09] (current) clodoveu |
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| ==== Geographic Information Systems (GIS) ==== | ==== Geographic Information Systems (GIS) ==== | ||
| - | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque convallis mauris eget nisl bibendum elementum. Morbi et dui magna. Duis pretium turpis sed lectus consequat, in porttitor libero pulvinar. Proin consequat urna eget molestie finibus. Curabitur pretium porta mi, at laoreet libero venenatis sit amet. Cras congue nisl ac lobortis congue. Vestibulum nulla velit, auctor sit amet rutrum eu, congue at nulla. | + | GIS are information systems that manage geographic data, that is, data that represent objects and phenomena for which geographic location is an essential feature, and indispensable for analysis. GIS provide a broader perspective to information systems, since geographic aspects, such as location, geometric shape and relationships to nearby objects, can be taken into consideration. With richer representations, GIS excels in applications designed for various specialized activities, such as urban planning, environmental sustainability, transportation and transit, public health and epidemiology, demography, cartography, utility networks, agriculture, marketing and many others. |
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| + | GIS wide applicability and flexibility provided the basis for much evolution in data management in the last decades. The interest on the computational representation of geography-related objects and phenomena inspired the evolution of a wide range of data management tools and techniques, including computational geometry algorithms, multidimensional data structures, spatial indexing, geographic data modeling, geographic visualization, geostatistics, and much more. | ||
| ==== Spatial Data Infrastructures ==== | ==== Spatial Data Infrastructures ==== | ||
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| The volume and variety of geographic data available on the Web for the common citizen are increasing rapidly. Since the onset of Web 2.0, there is much interest on tools that allow people to geographically locate and describe aspects of their daily life, and to share such knowledge with other people. Initial applications show that it is possible to mobilize the interest of large numbers of citizens for the creation, dissemination and maintenance of geographic information on socially relevant themes. This line of research focuses on the design and implementation of computational tools and techniques that allow groups of people to act as human sensors, voluntarily (or unconsciously) contributing information for the common good. The research agenda includes investigating user motivation, data quality, user feedback and spatial coverage of contributions. We also work on methods for active and passive crowdsourcing and crowdsensing, seeking the application of recommendation systems to enhance volunteered contributions. | The volume and variety of geographic data available on the Web for the common citizen are increasing rapidly. Since the onset of Web 2.0, there is much interest on tools that allow people to geographically locate and describe aspects of their daily life, and to share such knowledge with other people. Initial applications show that it is possible to mobilize the interest of large numbers of citizens for the creation, dissemination and maintenance of geographic information on socially relevant themes. This line of research focuses on the design and implementation of computational tools and techniques that allow groups of people to act as human sensors, voluntarily (or unconsciously) contributing information for the common good. The research agenda includes investigating user motivation, data quality, user feedback and spatial coverage of contributions. We also work on methods for active and passive crowdsourcing and crowdsensing, seeking the application of recommendation systems to enhance volunteered contributions. | ||
| - | ==== Spatial Databases ==== | + | ==== Spatial Databases and Geographic Data Modeling ==== |
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| - | Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque convallis mauris eget nisl bibendum elementum. Morbi et dui magna. Duis pretium turpis sed lectus consequat, in porttitor libero pulvinar. Proin consequat urna eget molestie finibus. Curabitur pretium porta mi, at laoreet libero venenatis sit amet. Cras congue nisl ac lobortis congue. Vestibulum nulla velit, auctor sit amet rutrum eu, congue at nulla. | + | |
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| - | ==== Geographic Data Modeling ==== | + | |
| The first data models developed for geographic applications were guided by existing GIS internal structures, forcing the user to adjust his/her interpretation of spatial phenomena to whatever structures were available. As a consequence, the modeling process did not offer mechanisms that would allow for the representation of the reality according to the user's mental model. Even well-known semantic and object-oriented data models, such as the Entity-Relationship (ER) model [11], the Object Modeling Technique (OMT) model [39], and the IFO model [1], do not offer adequate facilities to represent geographic applications. Even though these models are highly expressive, they present limitations to the adequate modeling of such applications, since they do not include geographic primitives that would allow for a satisfactory representation of spatial data. | The first data models developed for geographic applications were guided by existing GIS internal structures, forcing the user to adjust his/her interpretation of spatial phenomena to whatever structures were available. As a consequence, the modeling process did not offer mechanisms that would allow for the representation of the reality according to the user's mental model. Even well-known semantic and object-oriented data models, such as the Entity-Relationship (ER) model [11], the Object Modeling Technique (OMT) model [39], and the IFO model [1], do not offer adequate facilities to represent geographic applications. Even though these models are highly expressive, they present limitations to the adequate modeling of such applications, since they do not include geographic primitives that would allow for a satisfactory representation of spatial data. | ||
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| OMT-G is the basis for our research on geographic data modeling. We are interested in various related themes, including modeling tools and techniques, spatial integrity constraints, automatic mapping to physical object-relational implementations and mapping to NoSQL database managers. | OMT-G is the basis for our research on geographic data modeling. We are interested in various related themes, including modeling tools and techniques, spatial integrity constraints, automatic mapping to physical object-relational implementations and mapping to NoSQL database managers. | ||
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| ==== Geographic Information Retrieval ==== | ==== Geographic Information Retrieval ==== | ||
public/research.1473374145.txt.gz · Last modified: 2016/09/08 22:35 by clodoveu
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