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Introduction to semantic applications
pp. 1-12
Abstract
Semantic applications today provide benefits to numerous organisations in business sectors such as health care, finance, industry, and the public sector. These applications use the semantics of a domain in order to improve usability, correctness, and completeness. Developing semantic applications requires methodological skills, e.g., ontology engineering, quality assurance for ontologies, and licence management. Various technologies are available for implementing semantic applications, e.g., data integration, semantic search, machine learning, and complex event processing. This chapter gives an overview of methodologies, technologies, and corporate use of semantic applications.
Publication details
Published in:
Hoppe Thomas, Humm Bernhard, Reibold Anatol (2018) Semantic applications: methodology, technology, corporate use. Dordrecht, Springer.
Pages: 1-12
DOI: 10.1007/978-3-662-55433-3_1
Full citation:
Bartussek Wolfram, Bense Hermann, Hoppe Thomas, Humm Bernhard (2018) „Introduction to semantic applications“, In: T. Hoppe, B. Humm & A. Reibold (eds.), Semantic applications, Dordrecht, Springer, 1–12.