Improvement of the quality of information retrieval (IR) using the word sense disambiguation (WSD) was subject of controversy among a lot of authors. However, the recent researches pay tribute to the positive role for using the WSD to improve the IR systems. Query expansion is one of the means to improve the IR using the WSD. Many authors reported that the insertion of synonyms into query after exam the best senses improves the IR quality. However, there are two problems still facing IR systems

more »

... based on sense, the first is the extent of WSD accuracy, and the second is the delay when addressing a large-scale document collections. This work aims to develop an innovative model to address these two problems. It uses the fuzzy logic to improve the WSD accuracy through tuning the synonyms weights while uses the swarm intelligence, specifically the artificial bee colony (ABC) approach, to address the latency problem. Experimental results show that the proposed model is superior to the traditional model in terms of the precision, recall and latency.