Grammar To Graph, an approach for semantic transformation of annotations to triples
Links
- More information: Publisher Index Page (via DOI)
- Open Access Version: Publisher Index Page
- Download citation as: RIS | Dublin Core
Abstract
Linguistic representation of geographic knowledge is semantically complex and particularly challenging when employing geographic information technology to automate interpreted analysis dealing with unstructured knowledge. This study describes an approach called GrammarToGraph (G2G) that applies dependency grammar rules through natural language processing to transform annotation data into structured geospatial semantic graph triples. This approach offers data handling advantages that include reducing string annotation storage needs, improving the logical specification of relations between objects, and providing reusable classes and properties that support graph queries and logic inference.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Grammar To Graph, an approach for semantic transformation of annotations to triples |
| DOI | 10.5194/ica-abs-7-196-2024 |
| Volume | 7 |
| Publication Date | September 06, 2024 |
| Year Published | 2024 |
| Language | English |
| Publisher | Copernicus Publishing |
| Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
| Description | 196, 3 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Abstracts of the International Cartographic Association |
| Google Analytic Metrics | Metrics page |