A semantic role-based approach for ontology learning from spanish texts

José Luis Ochoa; Maria Luisa Hernández-Alcaraz; Rafael Valencia-García; Rodrigo Martínez-Béjar

doi:10.1007/978-3-642-19934-9_35

A semantic role-based approach for ontology learning from spanish texts

José Luis Ochoa^*, Maria Luisa Hernández-Alcaraz, Rafael Valencia-García, Rodrigo Martínez-Béjar

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The Semantic Web can be defined as an extension of the current Web in which information is provided with well-defined meaning, so that computers and people are able to work in a cooperative fashion. Ontologies are the de facto knowledge representation methodology in the Semantic Web. Ontology learning from Web documents is considered to be an important activity to promote the Semantic Web. In this paper, an automatic method for acquiring knowledge from Spanish texts is described. The approach presented here is based on semantic roles, which have been employed in our research for extracting semantic relations between concepts. The method makes it possible to represent multiple semantic relations. A set of experiments have been performed with this approach in the oncology domain that show promising results.

Original language	English
Title of host publication	International Symposium on Distributed Computing and Artificial Intelligence
Editors	Ajith Abraham, Juan M. Corchado Rodriguez, Sara Rodriguez Gonzalez, Juan Paz Santana
Pages	273-280
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-19934-9_35
State	Published - 2011
Externally published	Yes

Publication series

Name	Advances in Intelligent and Soft Computing
Volume	91
ISSN (Print)	1867-5662

Keywords

Ontology learning
information extraction
semantic role labeling

Access to Document

10.1007/978-3-642-19934-9_35

Cite this

Ochoa, J. L., Hernández-Alcaraz, M. L., Valencia-García, R., & Martínez-Béjar, R. (2011). A semantic role-based approach for ontology learning from spanish texts. In A. Abraham, J. M. C. Rodriguez, S. R. Gonzalez, & J. Paz Santana (Eds.), International Symposium on Distributed Computing and Artificial Intelligence (pp. 273-280). (Advances in Intelligent and Soft Computing; Vol. 91). https://doi.org/10.1007/978-3-642-19934-9_35

Ochoa, José Luis ; Hernández-Alcaraz, Maria Luisa ; Valencia-García, Rafael et al. / A semantic role-based approach for ontology learning from spanish texts. International Symposium on Distributed Computing and Artificial Intelligence. editor / Ajith Abraham ; Juan M. Corchado Rodriguez ; Sara Rodriguez Gonzalez ; Juan Paz Santana. 2011. pp. 273-280 (Advances in Intelligent and Soft Computing).

@inproceedings{227de538ed9b43d082cd04d6f342e3f8,

title = "A semantic role-based approach for ontology learning from spanish texts",

abstract = "The Semantic Web can be defined as an extension of the current Web in which information is provided with well-defined meaning, so that computers and people are able to work in a cooperative fashion. Ontologies are the de facto knowledge representation methodology in the Semantic Web. Ontology learning from Web documents is considered to be an important activity to promote the Semantic Web. In this paper, an automatic method for acquiring knowledge from Spanish texts is described. The approach presented here is based on semantic roles, which have been employed in our research for extracting semantic relations between concepts. The method makes it possible to represent multiple semantic relations. A set of experiments have been performed with this approach in the oncology domain that show promising results.",

keywords = "Ontology learning, information extraction, semantic role labeling",

author = "Ochoa, {Jos{\'e} Luis} and Hern{\'a}ndez-Alcaraz, {Maria Luisa} and Rafael Valencia-Garc{\'i}a and Rodrigo Mart{\'i}nez-B{\'e}jar",

year = "2011",

doi = "10.1007/978-3-642-19934-9_35",

language = "Ingl{\'e}s",

isbn = "9783642199332",

series = "Advances in Intelligent and Soft Computing",

pages = "273--280",

editor = "Ajith Abraham and Rodriguez, {Juan M. Corchado} and Gonzalez, {Sara Rodriguez} and {Paz Santana}, Juan",

booktitle = "International Symposium on Distributed Computing and Artificial Intelligence",

}

Ochoa, JL, Hernández-Alcaraz, ML, Valencia-García, R & Martínez-Béjar, R 2011, A semantic role-based approach for ontology learning from spanish texts. in A Abraham, JMC Rodriguez, SR Gonzalez & J Paz Santana (eds), International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol. 91, pp. 273-280. https://doi.org/10.1007/978-3-642-19934-9_35

A semantic role-based approach for ontology learning from spanish texts. / Ochoa, José Luis; Hernández-Alcaraz, Maria Luisa; Valencia-García, Rafael et al.
International Symposium on Distributed Computing and Artificial Intelligence. ed. / Ajith Abraham; Juan M. Corchado Rodriguez; Sara Rodriguez Gonzalez; Juan Paz Santana. 2011. p. 273-280 (Advances in Intelligent and Soft Computing; Vol. 91).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A semantic role-based approach for ontology learning from spanish texts

AU - Ochoa, José Luis

AU - Hernández-Alcaraz, Maria Luisa

AU - Valencia-García, Rafael

AU - Martínez-Béjar, Rodrigo

PY - 2011

Y1 - 2011

N2 - The Semantic Web can be defined as an extension of the current Web in which information is provided with well-defined meaning, so that computers and people are able to work in a cooperative fashion. Ontologies are the de facto knowledge representation methodology in the Semantic Web. Ontology learning from Web documents is considered to be an important activity to promote the Semantic Web. In this paper, an automatic method for acquiring knowledge from Spanish texts is described. The approach presented here is based on semantic roles, which have been employed in our research for extracting semantic relations between concepts. The method makes it possible to represent multiple semantic relations. A set of experiments have been performed with this approach in the oncology domain that show promising results.

AB - The Semantic Web can be defined as an extension of the current Web in which information is provided with well-defined meaning, so that computers and people are able to work in a cooperative fashion. Ontologies are the de facto knowledge representation methodology in the Semantic Web. Ontology learning from Web documents is considered to be an important activity to promote the Semantic Web. In this paper, an automatic method for acquiring knowledge from Spanish texts is described. The approach presented here is based on semantic roles, which have been employed in our research for extracting semantic relations between concepts. The method makes it possible to represent multiple semantic relations. A set of experiments have been performed with this approach in the oncology domain that show promising results.

KW - Ontology learning

KW - information extraction

KW - semantic role labeling

UR - http://www.scopus.com/inward/record.url?scp=80052997672&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-19934-9_35

DO - 10.1007/978-3-642-19934-9_35

M3 - Contribución a la conferencia

SN - 9783642199332

T3 - Advances in Intelligent and Soft Computing

SP - 273

EP - 280

BT - International Symposium on Distributed Computing and Artificial Intelligence

A2 - Abraham, Ajith

A2 - Rodriguez, Juan M. Corchado

A2 - Gonzalez, Sara Rodriguez

A2 - Paz Santana, Juan

ER -

Ochoa JL, Hernández-Alcaraz ML, Valencia-García R, Martínez-Béjar R. A semantic role-based approach for ontology learning from spanish texts. In Abraham A, Rodriguez JMC, Gonzalez SR, Paz Santana J, editors, International Symposium on Distributed Computing and Artificial Intelligence. 2011. p. 273-280. (Advances in Intelligent and Soft Computing). doi: 10.1007/978-3-642-19934-9_35

A semantic role-based approach for ontology learning from spanish texts

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this