A Review of Geospatial Semantic Information Modeling and Elicitation Approaches

ISPRS International Journal of Geo-Information

Eric Guilbert¹  Margarita Kokla² 

[1] Department of Geomatics Sciences, Université Laval, Québec, QC G1V 0A6, Canada;School of Rural and Surveying Engineering, National Technical University of Athens, 15780 Athens, Greece;

关键词: geospatial ontologies;    domain ontologies;    task ontologies;    application ontologies;    ontology design pattern;    semantic information extraction;    semantic enrichment;    semantic-based search;   

DOI  :  10.3390/ijgi9030146

来源: DOAJ

【 摘 要 】

The present paper provides a review of two research topics that are central to geospatial semantics: information modeling and elicitation. The first topic deals with the development of ontologies at different levels of generality and formality, tailored to various needs and uses. The second topic involves a set of processes that aim to draw out latent knowledge from unstructured or semi-structured content: semantic-based extraction, enrichment, search, and analysis. These processes focus on eliciting a structured representation of information in various forms such as: semantic metadata, links to ontology concepts, a collection of topics, etc. The paper reviews the progress made over the last five years in these two very active areas of research. It discusses the problems and the challenges faced, highlights the types of semantic information formalized and extracted, as well as the methodologies and tools used, and identifies directions for future research.

【 授权许可】

Unknown