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Smart Search system Targeted At Large Data Sets: An Ontology Based Approach

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dc.contributor.author Gunawardana, Nigel
dc.date.accessioned 2021-07-18T11:38:05Z
dc.date.available 2021-07-18T11:38:05Z
dc.date.issued 2020
dc.identifier.citation Gunawardana, Nigel (2020) Smart Search system Targeted At Large Data Sets: An Ontology Based Approach, BEng. Dissertation Informatics Institute of Technology en_US
dc.identifier.other 2016216
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/598
dc.description.abstract An Ontology is a collection of concepts in a particular domain, and the properties and relationships between these concepts An Upper ontology, also known as top-level ontology, is an ontology that takes the general terms which are common to most ontologies, and acts as a bridge across said ontologies. The most important function of an upper ontology is to ensure semantic interoperability across a wide range of ontologies specific to a variety of domains. It provides a foothold towards the capability of sharing information across a variety of ontologies. Datasets are a core component in the field of research and development, yet the methods of finding a dataset relevant to a specific need is tedious. To address this issue, an ontology-based approach is proposed. The implementation of tiered ontology, and the use of an API to expose the functionality is capable of providing a potentially beneficial service and contribute to the existing knowledge base. This project aims to implement an upper ontology as a method of achieving interoperability of a large number of domains in order to provide a new approach to solving the problem posed by the difficulties of finding a relevant dataset. en_US
dc.subject Ontology en_US
dc.title Smart Search system Targeted At Large Data Sets: An Ontology Based Approach en_US
dc.type Thesis en_US


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