Query Expansion based on Explicit-Relevant Feedback and Synonyms for English Quran Translation Information Retrieval

Search engines are commonly present as information retrieval applications that help to retrieve relevant information from different domain areas. The crucial part of improving the quality of search engine is based on query expansion, which expands the query with additional information to match additional important documents. This paper presents a query expansion approach that utilizes explicit relevant feedback with word synonyms and semantic relatedness. We describe the possibility and demonstrations based on the experimental work pertain to search engines where relevant judgment and word synonyms can improve search quality. In order to show the level of improving the proposed approach, we compared the results obtained from the experiments based on Yusuf Ali, Arberry and Sarwar Quran datasets. The proposed approach shows improvement over other methods.

@article{Yusuf2019,
  title     = {Query Expansion based on Explicit-Relevant Feedback and Synonyms for English Quran Translation Information Retrieval},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {5},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Nuhu Yusuf and Mohd Amin Mohd Yunus and Norfaradilla Wahid},
  doi       = {10.14569/IJACSA.2019.0100530},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100530}
}