Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction
Fuente:
Redalyc
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Artículo científico |
| Langue: | en |
| Publié: |
Instituto Politécnico Nacional
2016
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1876483106265890816 |
|---|---|
| author | Jin-Xia Huang |
| author_facet | Jin-Xia Huang |
| contents | Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction Jin-Xia Huang Kyung Soon Lee Key-Sun Choi Young-Kil Kim Computación based based feature feature ontology building A feature based relation classification approach is presented in this paper. We aimed to exact relation candidates from Wikipedia texts. A probabilistic and a semantic relatedness features are employed with other linguistic information for the purpose. The experiments show that, relation classification using the proposed relatedness features with surface information like word and part-of-speech tags is competitive with or even outperforms the one of using deep syntactic information. Meanwhile, an approach is proposed to distinguish reliable relation candidates from others, so that these reliable results can be accepted for knowledge building without human verification. The experiments show that, with the relation classification approach presented in this paper, more than 40% of the classification results are reliable, which means, at least 40% of the human and time costs can be saved in practice. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469015 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20 |
| format | Artículo científico |
| id | redalyc_61547469015 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction Jin-Xia Huang Computación based based feature feature ontology building Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction Jin-Xia Huang Kyung Soon Lee Key-Sun Choi Young-Kil Kim Computación based based feature feature ontology building A feature based relation classification approach is presented in this paper. We aimed to exact relation candidates from Wikipedia texts. A probabilistic and a semantic relatedness features are employed with other linguistic information for the purpose. The experiments show that, relation classification using the proposed relatedness features with surface information like word and part-of-speech tags is competitive with or even outperforms the one of using deep syntactic information. Meanwhile, an approach is proposed to distinguish reliable relation candidates from others, so that these reliable results can be accepted for knowledge building without human verification. The experiments show that, with the relation classification approach presented in this paper, more than 40% of the classification results are reliable, which means, at least 40% of the human and time costs can be saved in practice. 2016 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61547469015 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.20 |
| title | Extract Reliable Relations from Wikipedia Texts for Practical Ontology Construction |
| topic | Computación based based feature feature ontology building |
| url | https://www.redalyc.org/articulo.oa?id=61547469015 |