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dc.contributor.authorMendis, M. C. P-
dc.contributor.authorPerera, M. S. M-
dc.contributor.authorKarunaratne, J. M. P. D-
dc.contributor.authorSilva, K. K. S-
dc.contributor.authorHaddela, P. S-
dc.contributor.authorGunarathne, D. A-
dc.date.accessioned2022-09-07T05:33:44Z-
dc.date.available2022-09-07T05:33:44Z-
dc.date.issued2022-07-18-
dc.identifier.citationM. C. P. Mendis, M. S. M. Perera, J. M. P. D. Karunaratne, K. K. S. Silva, P. S. Haddela and D. A. Gunarathne, "eGaz: Enhanced Search Engine for Gazette Publications," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-7, doi: 10.1109/I2CT54291.2022.9824623.en_US
dc.identifier.isbn978-1-6654-2168-3-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2966-
dc.description.abstractA government gazette is a periodical distribution that has been approved to distribute public or legitimate takes note. Presently, governments gazettes are published in the official website with the facility of downloading the individual files in portable document format. Even though these gazettes are categorized into a few types, individual gazettes contain diverse amount of material from various sectors of the government making it stiffer to the reader to search for their preferred apprises without reading the complete file. To address this problem as a possible convenient solution, Enhanced Search Engine for Gazette Publications was developed. The system is able to scrape gazette files from the official website, which is followed by a progression of text extraction, summarizing and clustering the extracted data and hoard them in a distributed system. With the use of the Content Search Engine, user could loop through any material issued over gazettes which would bring up filtered results from the extracted data. Similarly, users can read summarized reports of advertisements on job vacancies, examination details and results of examinations and could even filter them by relevant departments.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 IEEE 7th International conference for Convergence in Technology (I2CT);-
dc.subjecteGazen_US
dc.subjectEnhanceden_US
dc.subjectSearch Engineen_US
dc.subjectGazette Publicationsen_US
dc.titleeGaz: Enhanced Search Engine for Gazette Publicationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/I2CT54291.2022.9824623en_US
Appears in Collections:Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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