Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1960
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dc.contributor.authorRajapaksha, S. K-
dc.contributor.authorJayasekara, C-
dc.date.accessioned2022-04-18T08:13:53Z-
dc.date.available2022-04-18T08:13:53Z-
dc.date.issued2021-08-11-
dc.identifier.citationS. Rajapaksha and C. Jayasekara, "Ontology Based Semantic File Search Assistant," 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021, pp. 310-315, doi: 10.1109/ICIAfS52090.2021.9606109.en_US
dc.identifier.issn2151-1810-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1960-
dc.description.abstractMany computer users do not give much attention to the organization of files into proper folders when saving them. Even if they do, with the increase of the number of files it becomes very difficult to locate them quickly without extensive search. If the files are saved with proper organization, it will be easier to search for a file. This research takes a different approach to saving and searching for files. It focuses on creating a bot which is integrated into the operating system that takes care of saving, searching and opening files for the user. The bot accepts natural language queries and return file search results by querying an automatically created ontology. Further, the results are ranked by applying a ranking algorithm. Though this concept can be applied to any domain the research will apply this to a set of Request for Comments (RFC) text files.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 10th International Conference on Information and Automation for Sustainability (ICIAfS);Pages 310-315-
dc.subjectOntology Baseden_US
dc.subjectSemantic Fileen_US
dc.subjectSearch Assistanten_US
dc.titleOntology Based Semantic File Search Assistanten_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICIAfS52090.2021.9606109en_US
Appears in Collections:Department of Information Technology-Scopes
Research Papers - SLIIT Staff Publications

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