Research Papers - Dept of Information Technology
Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/593
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Publication Embargo Question and Answering System For Investment Promotion Based on NLP(IEEE, 2023-04-03) Panditharathna, P M R A; Rajapaksha, U.U.S.Smart Question and Answering System for Investment Promotion is one such software/tool which will enable users (Investors, Investment Promotion Officers, Researchers, Professionals, etc.) to systematically ask the questionnaires related to the Investment and giving answers anytime anywhere. Preparing questions will be categorized according to investment sector based on Natural Processing Language. The levels would be, Knowledge, Comprehension, Application, Analysis, Synthesis and evaluation. Accordingly, Smart Question Generator will be modified to achieve the aspects related to each of the levels in investment promotion concept.Most likely these prepared questions would be of high standard predicting the questions as expected. This will also be a greater advantage for the investors to gain the potential out of this enabling them to invest money for projects and various information accordingly. Time consumption and communication gap is one such major issue which has not yet been practically attempted to. In order to overcome this issue, Smart Question and Answering will be a good assistant.Publication Embargo Ontology Based Question Answering System for Sri Lankan Online School Education(IEEE, 2022-10-04) Jayabahu, J.M.G.R.; Rajapaksha, U.U.S.Today, distance education is one of the world’s most popular forms of education, and there are several opportunities for students to receive education online. Here, ontology can be considered one of the leading knowledge representation ways in e-learning systems. This research addressed students’ learning difficulties in Sri Lankan online education during the past two years. Students had to learn from home via online video conferences or audio series taught by teachers. However, students could not learn by asking questions or referring to the library materials to improve their self-studying knowledge. To overcome this issue, this research developed an ontology for school children in Sri Lanka, focusing on their IT syllabus and improving their self-education knowledge. This aims to provide personalized content while improving information searching. Students can ask questions from UI, and questions are taken as an input parameter and generate a query while cleansing for matching processes. Answers are generated by connecting to the index database and ontology repository, and the end output is displayed in the user interface. In the evaluation, it was targeted to categorize the questions according to relevant components, and the research shows the questions that are categorized into relevant categories while enhancing the performance.Publication Open Access An Ontology-Driven Question Answering System For Computer Network Module(IEEE, 2021-12-02) Rajapaksha, U. U. S; Nowshad, M. I. MThe field of "question and answering" has become a popular area of research in recent years.The main reason for this is that the search through the ”question answering" system is found to be more efficient than the normal search. The Question Answering (QA) Systems can be two types in general such as open-domain QA systems and closed-domain QA systems. Search engines are generally open-domain QA systems that are used to search and retrieve the data we need. However, instead of search engines giving accurate and precise answers to the user queries, they often returned the list of links. Then, the user clicks on each link one by one to get the answer. This method of searching can sometimes not give the precise answers to the user queries, or the user may have to spend more time searching for the answer, and hence the users may experience discomfort. This situation can be avoided by using the semantic concept. The normal web data are machine-readable and can be understood by humans, whereas the semantic web information is machine-readable and understandable. Ontology is the main component of the semantic web and it can be described as the structure of knowledge-representation of a particular domain or subject. It clearly describes concepts, roles, instances, and the relationships between them. The Question Answering (QA) system is one of the popular applications of ontology. Here, the QA system is used to extract the precise answer to the user queries from the data repository. The system can be developed using different techniques like NLP with IR, reasoning with the NLP, web-based QA System, ontology-based QA System, and more. This particular question answering system is developed using the ontology model. This ontology-driven question answering (QA) system provides the facility to the users to find accurate and concise answers for their queries in the Computer Network module of ICT Subject.The same questions that are asked in the ontology-based question answering system can be asked in the web-based system. The reason is that both of these methods are used in this system. This will make it easier for users to understand the difference between the two systems.The performance results of both these systems further strengthen the statement