Application of API supported open source full-text integrated search tools in digital transformation of Libraries
Year: 2025
Type: article
Abstract: This paper presents a discussion on the implementation of the open source web information retrieval techniques commonly known as search engines like Apache Solr, Elasticsearch in library digitization.The internet has turned into a global transformation tool.Networks, online web interactions and activities on social media platform opened a new way to access for the users' community because of the accessibility of internet.It revolutionizes in the world of information systems and services.Searching through the big datasets has become a big issue now.It is imperative to apply effective search engines for quick retrieval of information from the large amount of web resources.Times of process, storage and retrieval of largescale data have become longer over time.Quite a number of search engines have been introduced to retrieve relevant data accurately and quickly.Filtration process gradually becomes a complex performance while manipulating with huge amount of datasets.There are several full-text open source search engines e.g.Apache Lucene, Apache Solr, Elasticsearch,YaCy etc. to process large-scale datasets.Nature and form of resources have been changed with the change of mode of access to them. Generation of resources has been rapidly increased with the advent of Information and Communication Technology (ICT).
Author: Gautam Mukhopadhyay
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409865775