Lucene Search Engine Development: A Beginner’s Experience

  • Azilawati Azizan Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia
  • Najwa Izzah Najihah Mohd Sanusi Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia
  • Nurkhairizan Khairuddin Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia
  • Ana Salwa Shafie Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Pahang Branch Jengka Campus, Pahang, Malaysia


Lucene provides a basic library package for building a complete text-based search engine. It can be used in various ways to benefit both researchers and users. However, for a beginner, to create a search engine utilizing Lucene, require a thorough understanding of the procedures and library packages. Therefore, this project seeks to explore and demonstrate the development of a search engine by employing the Malay Quran translation text as the dataset for testing purposes. This project applied the fundamental Information Retrieval (IR) model as the main methodology for developing the search engine. Apache Lucene framework, a full-text search engine library which is written in JAVA was used to construct the whole search engine components namely the indexer, searcher, query processor, and ranker. Then, the developed search engine was evaluated using a standard IR measurement, where it achieved 67% of precision and 32% recall value. This paper provides a basic approach to developing a text-based search engine that can be used for any IR testing purposes. The result of this project may also benefit the IR community in comparing the retrieval performance.


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How to Cite
AZIZAN, Azilawati et al. Lucene Search Engine Development: A Beginner’s Experience. Mathematical Sciences and Informatics Journal, [S.l.], v. 3, n. 2, p. 80-92, nov. 2022. ISSN 2735-0703. Available at: <>. Date accessed: 03 oct. 2023. doi:

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