A Study of a Local Search Engine for Desktop PCs using an Enhanced Boyer-Moore Algorithm

Authors

  • Lorlyn S. Sernicula College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Melinda L. Manalo College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Gryam Abner M. Niebre College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Rajean C. Anastacio College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Jhona P. Alagos College of Computer Studies, University of Antique, Sibalom, Antique, Philippines
  • Jason P. Sermeno College of Computer Studies, University of Antique, Sibalom, Antique, Philippines

DOI:

https://doi.org/10.69478/JITC2019v1n2a05

Keywords:

Boyer-Moore search algorithm, local search engine, string searching, string matching, Algorithm

Abstract

The volume of digital information and documents stored on desktop computers and over the Internet has been rapidly increasing in the past few years. Thus, search algorithms, methods, and programs are becoming popular to help in finding the intended information or files. This study proposes a string-matching algorithm to improve the pattern-matching technique of the traditional Boyer-Moore (BM) search algorithm. The proposed enhanced BM algorithm simultaneously scans the text from both sides (left and right) using two windows wherein each window has a size that is equal to the pattern length.

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Published

2019-12-30

How to Cite

A Study of a Local Search Engine for Desktop PCs using an Enhanced Boyer-Moore Algorithm. (2019). Journal of Innovative Technology Convergence, 1(2). https://doi.org/10.69478/JITC2019v1n2a05

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