Opening book details…
Can I read Ontology-Based Feature Selection: A Survey on EtoBox?
Ontology-Based Feature Selection: A Survey by Sikelis, Konstantinos (author);Tsekouras, George E. (author);Kotis, Konstantinos (author) is a Computer Science article available to read on EtoBox.
What is Ontology-Based Feature Selection: A Survey about?
The Semantic Web emerged as an extension to the traditional Web, adding meaning (semantics) to a distributed Web of structured and linked information. At its core, the concept of ontology provides the means to semantically describe and structure information, and expose it to software and human agents in a machine and human-readable form. For software agents to be realized, it is crucial to develop powerful artificial intelligence and machine-learning techniques, able to extract knowledge from information sources, and represent it in the underlying ontology. This survey aims to provide insight into key aspects of ontology-based knowledge extraction from various sources such as text, databases, and human expertise, realized in the realm of feature selection. First, common classification and feature selection algorithms are presented. Then, selected approaches, which utilize ontologies to represent features and perform feature selection and classification, are described. The selective and representative approaches span diverse application domains, such as document classification, opinion mining, manufacturing, recommendation systems, urban management, information security systems, and
Who reads Ontology-Based Feature Selection: A Survey?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Sikelis, Konstantinos (author);Tsekouras, George E. (author);Kotis, Konstantinos (author)
- Publisher
- MDPI AG
- Published
- 2021
- Language
- EN
- Field
- Computer Science (Physical Sciences)