A Global-Interdependence Pairwise Approach to Entity Linking Using RDF Knowledge Graph


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 3, pp. 129-136, Mar. 2019
https://doi.org/10.3745/KTSDE.2019.8.3.129,   PDF Download:
Keywords: Entity Linking, RDF Knowledgebase, Global-Interdependence
Abstract

There are a variety of entities in natural language such as people, organizations, places, and products. These entities can have many various meanings. The ambiguity of entity is a very challenging task in the field of natural language processing. Entity Linking(EL) is the task of linking the entity in the text to the appropriate entity in the knowledge base. Pairwise based approach, which is a representative method for solving the EL, is a method of solving the EL by using the association between two entities in a sentence. This method considers only the interdependence between entities appearing in the same sentence, and thus has a limitation of global interdependence. In this paper, we developed an Entity2vec model that uses Word2vec based on knowledge base of RDF type in order to solve the EL. And we applied the algorithms using the generated model and ranked each entity. In this paper, to overcome the limitations of a pairwise approach, we devised a pairwise approach based on comprehensive interdependency and compared it.


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Cite this article
[IEEE Style]
Y. Shim, S. Yang, H. Kim, "A Global-Interdependence Pairwise Approach to Entity Linking Using RDF Knowledge Graph," KIPS Transactions on Software and Data Engineering, vol. 8, no. 3, pp. 129-136, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.3.129.

[ACM Style]
Yongsun Shim, Sungkwon Yang, and Hong-Gee Kim. 2019. A Global-Interdependence Pairwise Approach to Entity Linking Using RDF Knowledge Graph. KIPS Transactions on Software and Data Engineering, 8, 3, (2019), 129-136. DOI: https://doi.org/10.3745/KTSDE.2019.8.3.129.