This paper presents strategies for text-based retrieval of medical articles by applying query expansion. The goal of the paper is to investigate whether the propose query expansion techniques can improve the retrieval performance. The query expansion strategies include expansion of the queries by adding medical concepts or synonyms and traditional query expansion techniques based on the retrieved document collection. The articles for the experiment are PubMed medical articles. The text from the medical articles is used to create a field-based textual representation. We used Terrier IR search engine due to its flexibility and scalability. The results showed that query expansion can increase the performance of the medical articles retrieval.
medical document retreivel