Semantic Geographic Space: From Big Data to Ecosystems of Data

作者: Salvatore F. Pileggi , Robert Amor

DOI: 10.1007/978-3-319-11056-1_12

关键词:

摘要: Enhancing the physical view of a geographic space through integration semantic models enables novel extended logic context for data infrastructures that are modelled as an ecosystem in which properties and relations defined with concepts composing model. The signigicant capabilities current technology allow implementation rich according to ontological approach assures competitive interoperable solutions environments general purpose (e.g. Semantic Web) well inside more specific systems Geographic Information Systems). Extended terms expressivity have strong implications also data/information processing, especially on large scale (Big Data). spaces can play critical role those processes contrasting mostly passive simply reflecting perspective. This chapter proposes short overview simple model number its applications, focusing added value provided by use different cases.

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