Digital Image Similarity for Geo-spatial Knowledge Management

The internal validity of a spatial database can be discovered using the data contained within one or more databases. Spatial consistency includes topological consistency, or the conformance to topological rules. Discovery of inconsistencies in spatial data is an important step for improvement of spatial data quality as part of the knowledge management initiative. An approach for detecting topo-semantic inconsistencies in spatial data is presented. Inconsistencies between pairs of neighboring spatial objects are discovered by comparing relations between spatial objects to rules. A property of spatial objects, called elasticity, has been defined to measure the contribution of each of the objects to inconsistent behavior. Grouping of multiple objects, which are inconsistent with one another, based on their elasticity is proposed. The ability to discover groups of neighboring objects that are inconsistent with one another can serve as the basis of an effort to understand and increase the quality of spatial data sets. Elasticity should therefore be incorporated into knowledge management systems that handle spatial data.

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Reprint of: Digital and spatial knowledge management in urban governance: Emerging issues in India, Brazil, South Africa, and Peru

Habitat International ◽

10.1016/j.habitatint.2015.01.018 ◽

2015 ◽

Vol 46 ◽

pp. 225-233 ◽

Cited By ~ 8

Author(s):

Isa Baud ◽

Dianne Scott ◽

Karin Pfeffer ◽

John Sydenstricker-Neto ◽

Eric Denis

Keyword(s):

South Africa ◽

Knowledge Management ◽

Urban Governance ◽

Spatial Knowledge ◽

Emerging Issues

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Illinois Firefighter Line of Duty Deaths Digital Image Collection Database: A Knowledge Management Initiative

Fire Technology ◽

10.1007/s10694-010-0200-y ◽

2010 ◽

Vol 49 (1) ◽

pp. 163-173 ◽

Cited By ~ 1

Author(s):

Lian Ruan ◽

Adam Groves

Keyword(s):

Knowledge Management ◽

Digital Image ◽

Image Collection

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Web GIS and Knowledge Management Systems

Knowledge Management ◽

10.4018/978-1-59904-933-5.ch066 ◽

2011 ◽

pp. 794-811

Author(s):

Brad C. Mason ◽

Suzana Dragicevic

Keyword(s):

Knowledge Management ◽

System Design ◽

Spatial Data ◽

Data Entry ◽

Spatial Knowledge ◽

Integrated System ◽

Web Gis ◽

Multiple Forms ◽

Local Data ◽

Codified Knowledge

Environmental problems are multidimensional and usually complex. Collaborative integration of multiple forms of knowledge is one approach used to develop meaningful solutions to complex problems. In this regard, spatial data and knowledge about the environment have been managed extensively with Web geographic information systems (Web GIS). However, past Web GIS research has focused mostly on using spatial tools to manage explicit (codified) knowledge. This has reduced the complementary contribution that tacit (experiential) knowledge can provide to environmental solutiodragns. In this study, Web GIS and knowledge management technologies are used to integrate multiple forms of spatial knowledge in support of collaborative community planning. The system design included a customized end-user interface for data entry, georeferencing tools for asynchronous collection of local data, and protocols for knowledge management dealing with species location, ecological habitats, and environmentally sensitive areas among others. The system enabled access, query, sharing, and updating of environmental knowledge using visual map-based tools. The utility of the integrated system design is discussed.

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