Instance-Based Ontology Population Exploiting Named-Entity Substitution

  title={Instance-Based Ontology Population Exploiting Named-Entity Substitution},
  author={Claudio Giuliano and Alfio Massimiliano Gliozzo},
We present an approach to ontology population based on a lexical substitution technique. It consists in estimating the plausibility of sentences where the named entity to be classified is substituted with the ones contained in the training data, in our case, a partially populated ontology. Plausibility is estimated by using Web data, while the classification algorithm is instance-based. We evaluated our method on two different ontology population tasks. Experiments show that our solution is… CONTINUE READING
Highly Cited
This paper has 193 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 30 extracted citations

Fine-grained Arabic Named Entity Recognition by Fahd

Saleh S Alotaibi
View 4 Excerpts
Highly Influenced

Trimming a consistent OWL knowledge base , relying on linguistic evidence

Julien Corman, Nathalie Aussenac-Gilles IRIT, Laure Vieu IRIT
View 4 Excerpts
Highly Influenced

Ontology Population : an Application for the E-tourism Domain

Juana Maŕıa Ruiz-Mart́ınez, José Antonio Miñarro-Giménez, Dagoberto Castellanos-Nieves, Francisco Garćıa-Sánchez, Rafael Valencia-Garćıa
View 8 Excerpts
Highly Influenced

An alternative technique for populating Thai tourism ontology from texts based on machine learning

2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS) • 2016
View 2 Excerpts

194 Citations

Citations per Year
Semantic Scholar estimates that this publication has 194 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…