Part4 chapter2

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Semantic Enrichment of Places: From Public Places Descriptions to Linked Data
Authors Ana Oliveira ALVES, Francisco Câmara PEREIRA
Part Learning from Web Data
Topics Geospatial Learning
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Semantic Enrichment of Places: From Public Places Descriptions to Linked Data

The chapter "Semantic Enrichment of Places: From Public Places Descriptions to Linked Data" was written by Ana Oliveira ALVES, Francisco Câmara PEREIRA.

Abstract

We present a methodology for extracting Lightweight Ontologies from textual descriptions about Public Places available on the Web. In this context, a place is a Point of Interest (POI), composed generally of a latitude/longitude pair and a name. In our approach, we enrich this information using the KUSCO system, which builds a Semantic Index for a given POI through Natural Language Processing techniques and Statistical computing over collected information on the Web. This process is called Semantic Enrichment of POIs. Semantic Indexes are then contextualized and mapped to the Linked Web Data. This mapping is the focus of this chapter. Thus, the POI can be represented not by a bag of words but instead by an interlinked cloud of concepts that enable us to infer more knowledge about a place.

Topics / Key Words

Geospatial Learning


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AbstractWe present a methodology for extracting Li We present a methodology for extracting Lightweight Ontologies from textual descriptions about Public Places available on the Web. In this context, a

place is a Point of Interest (POI), composed generally of a latitude/longitude pair and a name. In our approach, we enrich this information using the KUSCO system, which builds a Semantic Index for a given POI through Natural Language Processing techniques and Statistical computing over collected information on the Web. This process is called Semantic Enrichment of POIs. Semantic Indexes are then contextualized and mapped to the Linked Web Data. This mapping is the focus of this chapter. Thus, the POI can be represented not by a bag of words but instead by an interlinked cloud of concepts that enable us to infer more knowledge about a place. us to infer more knowledge

about a place.
AuthorAna Oliveira ALVES  +, and Francisco Câmara PEREIRA  +
Book part titleLearning from Web Data  +
Chapter titleSemantic Enrichment of Places: From Public Places Descriptions to Linked Data  +
TopicsGeospatial Learning  +
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