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COURSE PRESENTATION FORM ACADEMIC YEAR 2013/2014 COURSE NAME Ontology and Database Systems COURSE CODE 72119 LECTURER Diego Javanese (8CFU) and Werner Nut (4 CFU) TEACHING ASSISTANT Elena Bologna
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Who needs ontology and database systems:

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Researchers and academics: Ontology and database systems can be valuable tools for organizing and analyzing research data, allowing researchers to easily access and retrieve information.
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Businesses: Many businesses rely on ontology and database systems to manage and store vast amounts of data, such as customer information, inventory records, and financial data.
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Government organizations: Government agencies often require ontology and database systems to store and retrieve data related to various aspects, such as population demographics, infrastructure, and public health.
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Healthcare industry: Ontology and database systems are utilized in the healthcare industry to store and manage patient records, medical research data, and clinical information.
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E-commerce companies: E-commerce platforms heavily rely on ontology and database systems to handle customer data, product catalogs, and transaction information.
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Educational institutions: Educational organizations use ontology and database systems to store student records, course information, and academic data.
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Artificial intelligence and machine learning applications: Ontology and database systems are essential for training machine learning models, as they provide a structured representation of the data that can be used for learning patterns and making predictions.
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Ontology is the study of the nature of being, existence, or reality while database systems are used to store and manage large amounts of data.
Companies and organizations that deal with large amounts of data and information are required to file ontology and database systems.
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The purpose of ontology and database systems is to organize, store, and manage data and information in a structured manner for easy access and retrieval.
Information such as data types, relationships between data, metadata, and data sources must be reported on ontology and database systems.
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