Keyphrase extraction methodology from short abstracts of medical documents

Keyphrases are the keywords that provide the semantic metadata about document that represents the top concepts inside an article. Number of natural language processing (NLP) methodologies; such as text summarization, text mining and information retrieval applications, consider Keyphrase Extraction as a critical step to accomplish its tasks. This paper presents a method to extract keyphrases from abstracts of medical research papers. The proposed method utilizes DBpedia to gain access to terms that may be of interest to the candidate keyphrases extracted from the original document. Experimental results showed that the proposed method outperforms other related methods in terms of higher precision and F-measure values.