Abstract
The Ontology is an emerging domain that assists is intelligent decision making and connects various users, thereby facilitating a way of presenting the information on a common platform that could be used by the users for decision making. The Ontology leads to structuring of the unstructured data and retrieval of information from the system. The Ontology allows to share and reuse the data and its related concepts in a homogenized manner so as to provide a single nomenclature to the unstructured data that has been gathered from different sources and paving a way for elucidating the identical data easily. As the times are progressing to the fourth business revolution, absolute use of the artificial intelligence authorized ontologies leads to the decision support in many real-time applications. There are many methodologies by which an Ontology can be designed and the data can be structured and retrieved from the Ontology. This research paper aims to present a survey of the existing literature present in the domain of Ontology that would help in understanding the knowledge representation and information retrieval from the Ontologies created using various techniques.
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Bashir, A., Nagpal, R., Mehrotra, D., Bala, M. (2023). Knowledge Representation and Information Retrieval from Ontologies. In: Kumar, R., Verma, A.K., Sharma, T.K., Verma, O.P., Sharma, S. (eds) Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems, vol 627. Springer, Singapore. https://doi.org/10.1007/978-981-19-9858-4_65
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