Automatic Subject Metadata Generation for Scientific Documents Using Wikipedia and Genetic Algorithms

Automatic Subject Metadata Generation for Scientific Documents Using Wikipedia and Genetic Algorithms - scientific work related to Wikipedia quality published in 2012, written by Arash Joorabchi and Abdulhussain E. Mahdi.

Overview

Topical annotation of documents with keyphrases is a proven method for revealing the subject of scientific and research documents. However, scientific documents that are manually annotated with keyphrases are in the minority. This paper describes a machine learning-based automatic keyphrase annotation method for scientific documents, which utilizes Wikipedia as a thesaurus for candidate selection from documents' content and deploys genetic algorithms to learn a model for ranking and filtering the most probable keyphrases. Reported experimental results show that the performance of method, evaluated in terms of inter-consistency with human annotators, is on a par with that achieved by humans and outperforms rival supervised methods.