Institutional-Repository, University of Moratuwa.  

Dynamic ontology based Q&A system for pandemic situations case study COVID-19 pandemics

Show simple item record

dc.contributor.advisor Silva ATP
dc.contributor.author Subasinghe SAHP
dc.date.accessioned 2022
dc.date.available 2022
dc.date.issued 2022
dc.identifier.citation Subasinghe, S.A.H.P. (2021). Dynamic ontology based Q&A system for pandemic situations case study COVID-19 pandemics [Master's theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.uom.lk/handle/123/21481
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21481
dc.description.abstract In dynamic pandemic situations like covid-19, Many writeups, reviews, articles have been published every day. Rapidly updated data leads information overload, which make the public difficult to keep up with the latest data on pandemic situation. This paper focuses on introduce an efficient Q&A system for dynamic pandemic situation which help public to update with the real time data. Several approaches including basic ontologies, expert knowledge base and linguistic knowledge have been used when model the knowledge base of Q&A systems. But these approaches are mainly based on experts’ knowledge and mainly human interaction in knowledge acquisition, less handling of multimodal data, inefficient inferencing. Even though there are number of solutions which help public to update with the pandemic data, there are no fully automated real time updated systems. So, the intention is to introduce a fully automated multimodal data based real time updated system. In order to archive this goal, fully automated dynamic ontology-based Q&A system was design, developed and evaluated for the pandemic situation like covid-19. Solution was design in such a way that users can enter question which is related to the covid-19 pandemic and retrieve a real time answer. Mainly the system is based on two modules as dynamic ontology module which use web scrapping for real time updated data extraction, process to map the changes in data and Q&A module which simplifies the questions into RDF triples based normal forms that effortlessly handled by database querying. Evaluation of the system was conducted two ways by evaluation of the dynamic ontology module and evaluation of the question and answer module. In both evaluation processes time evaluation and precision has considered. en_US
dc.language.iso en en_US
dc.subject COVID-19 en_US
dc.subject DYNAMIC ONTOLOGY en_US
dc.subject WEB SCRAPPING en_US
dc.subject NORMAL FORM en_US
dc.subject Q&A en_US
dc.subject INFORMATION TECHNOLOGY -Dissertation en_US
dc.subject COMPUTATIONAL MATHEMATICS -Dissertation en_US
dc.subject ARTIFICIAL INTELLIGENCE -Dissertation en_US
dc.title Dynamic ontology based Q&A system for pandemic situations case study COVID-19 pandemics en_US
dc.type Thesis-Abstract en_US
dc.identifier.faculty IT en_US
dc.identifier.degree MSc in Artificial Intelligence en_US
dc.identifier.department Department of Computational Mathematics en_US
dc.date.accept 2022
dc.identifier.accno TH5015 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record