TL;DR
This paper reviews the field of geospatial semantics, exploring how understanding geographic meanings enhances GIS interoperability, digital gazetteers, and natural language processing, especially with the rise of big geo data.
Contribution
It provides a systematic review of six major research areas in geospatial semantics, highlighting recent developments and future research directions.
Findings
Identified six key research areas in geospatial semantics.
Discussed the impact of big geo data and NLP on the field.
Highlighted the importance of semantic interoperability and cognitive concepts.
Abstract
Geospatial semantics is a broad field that involves a variety of research areas. The term semantics refers to the meaning of things, and is in contrast with the term syntactics. Accordingly, studies on geospatial semantics usually focus on understanding the meaning of geographic entities as well as their counterparts in the cognitive and digital world, such as cognitive geographic concepts and digital gazetteers. Geospatial semantics can also facilitate the design of geographic information systems (GIS) by enhancing the interoperability of distributed systems and developing more intelligent interfaces for user interactions. During the past years, a lot of research has been conducted, approaching geospatial semantics from different perspectives, using a variety of methods, and targeting different problems. Meanwhile, the arrival of big geo data, especially the large amount of…
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