Recherche de relations spatio-temporelles : une m\'ethode bas\'ee sur l'analyse de corpus textuels
Tien Nguyen Van (LIUPPA), Mauro Gaio (LIUPPA), Christian Sallaberry, (LIUPPA)

TL;DR
This paper introduces a novel method for enriching geographical ontologies by analyzing textual corpora to automatically detect spatial and temporal relations within journey descriptions.
Contribution
The paper proposes a new text analysis approach using lexico-syntactic patterns to identify spatial and temporal relations for ontology enrichment.
Findings
Successfully detected n-ary relations involving spatial and temporal aspects
Enhanced the geographical ontology with new relations derived from text analysis
Applicable to journey description corpora for ontology development
Abstract
This paper presents a work package realized for the G\'eOnto project. A new method is proposed for an enrichment of a first geographical ontology developed beforehand. This method relies on text analysis by lexico-syntactic patterns. From the retrieve of n-ary relations the method automatically detect those involved in a spatial and/or temporal relation in a context of a description of journeys.
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Taxonomy
TopicsGeographic Information Systems Studies · Data Management and Algorithms · Linguistics and Discourse Analysis
