Associating spatial patterns to text-units for summarizing geographic information

Julien Lesbegueries (1) , Christian Sallaberry (1) , Mauro Gaio (1)

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour

Retrieving data based not only on key words is a challenge. We worked on semi-structured data (cultural heritage corpora). Our project aimed at getting the most relevant text-units of documents (sets of sentences, paragraphs, sections, etc.) according to a spatial query. This paper proposes a method to build summarized spatial indexes for text-units based on spatial patterns. This approach adds semantic interpretation to classical indexing methods.

Domaines: Recherche d'information [cs.IR]

Julien Lesbegueries, Christian Sallaberry, Mauro Gaio. Associating spatial patterns to text-units for summarizing geographic information. ACM SIGIR 2006. GIR, Geographic Information Retrieval, Workshop, Aug 2006, Seattle, United States. pp.40-43. ⟨hal-00325289⟩