An Ontology-Driven Question Answering System For Computer Network Module

Abstract

The 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