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Research Project in Ontology based Classification of Unstructured Information Stefan Burger, B.Sc. E00973140 Department of Computer Science 511 PrayHarrold Eastern Michigan University, Ypsilanti,
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Ontology-based classification of unstructured data involves categorizing and organizing unstructured information using ontologies to improve data retrieval and analysis.
Organizations or individuals dealing with large volumes of unstructured data are required to file ontology-based classification to ensure proper management and utilization of data.
Ontology-based classification can be filled out by using specialized software that supports ontologies and data classification methods.
The purpose of ontology-based classification is to enhance data organization, improve information retrieval, and facilitate better decision-making based on structured data analysis.
Information such as data categories, relationships between data elements, and data properties must be reported on ontology-based classification of unstructured data.
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