Ontologies for Information Retrieval

Amalia Todiraşcu, François Rousselot


Abstract
The paper presents a system for querying (in natural language) a set of text documents from a limited domain. The domain knowledge, represented in description logics (DL), is used for filtering the documents returned as answer and it is extended dynamically (when new concepts are identified in the texts), as result of DL inference mechanisms. The conceptual hierarchy is built semi-automatically from the texts. Concept instances are identified using shallow natural language parsing techniques.
Anthology ID:
2001.jeptalnrecital-long.28
Volume:
Actes de la 8ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs
Month:
July
Year:
2001
Address:
Tours, France
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
ATALA
Note:
Pages:
303–312
Language:
URL:
https://aclanthology.org/2001.jeptalnrecital-long.28
DOI:
Bibkey:
Cite (ACL):
Amalia Todiraşcu and François Rousselot. 2001. Ontologies for Information Retrieval. In Actes de la 8ème conférence sur le Traitement Automatique des Langues Naturelles. Articles longs, pages 303–312, Tours, France. ATALA.
Cite (Informal):
Ontologies for Information Retrieval (Todiraşcu & Rousselot, JEP/TALN/RECITAL 2001)
Copy Citation:
PDF:
https://aclanthology.org/2001.jeptalnrecital-long.28.pdf