Name
Abstract | ||
|---|---|---|
This paper describes a method and a system ONTOQUERY for content-based querying of texts based on the availability of an ontology for the concepts in the text domain. A key principle in the system is the extraction of conceptual content of noun phrases into descriptors forming an integral part of the ontology.The retrieval of text passages rests on matching descriptors from the text against descriptors from the noun phrases in the query. The match need not be exact but is mediated by the ontology, invoking in particular taxonomic reasoning with sub- and super concepts. The paper also reports on a prototype implementation of the system. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-36271-1_11 | NLDB |
Keywords | Field | DocType |
particular taxonomic reasoning,text passage,text domain,ontological extraction,key principle,text querying,conceptual content,prototype implementation,content-based querying,noun phrase,integral part,system ontoquery | Noun phrase,Ontology,Information retrieval,Lexical item,Computer science,Computational linguistics,Semantic relation,Natural language processing,Artificial intelligence,Knowledge base,Applied linguistics | Conference |
Volume | ISSN | ISBN |
2553 | 0302-9743 | 3-540-00307-X |
Citations | PageRank | References |
6 | 0.97 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Troels Andreasen | 1 | 505 | 43.70 |
| Per Anker Jensen | 2 | 57 | 9.33 |
| Jørgen Fischer Nilsson | 3 | 170 | 24.82 |
| Patrizia Paggio | 4 | 205 | 22.92 |
| Bolette Sandford Pedersen | 5 | 67 | 12.02 |
| Hanne Erdman Thomsen | 6 | 61 | 7.30 |