doi: 10.7763/IJMLC.2012.V2.109
Using Semantic Entity Extraction Method for a New Application
Farhad Abedini1
,
Fariborz Mahmoudi2 ,
Seyedeh Masoumeh Mirhashem3
- 1Electrical and Computer Engineering Department, and
- 2Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran.
- 3Islamic Azad University, Roudsar and Amlash branch, Roudsar, Iran.
Abstract
Semantic entities extraction method has been used for various aims. Here, it will be used for a new application – computing semantic relatedness of texts. The previous works in the field of computing semantic relatedness of texts convert a text into a set of words by different methods, and then compute semantic relatedness between these words of texts. In this paper a different approach will be proposed in which any text converts to a set of semantic entities to compute semantic relatedness. Comparing the results with the literatures shows that the results of this new approach can be sufficiently reliable.
Keywords
- Semantic entity extraction
- YAGO ontology
- semantic relatedness
- fact extraction
- information retrieval
How to Cite
Farhad Abedini, Fariborz Mahmoudi, and Seyedeh Masoumeh Mirhashem, "Using Semantic Entity Extraction Method for a New Application," International Journal of Machine Learning, vol. 2, no. 2, pp. 178-182, 2012. https://doi.org/10.7763/IJMLC.2012.V2.109
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).