作者
Varun M Tayur, R Suchithra
发表日期
2022/1/31
图书
Prediction and Analysis for Knowledge Representation and Machine Learning
页码范围
125-141
出版商
Chapman and Hall/CRC
简介
An ontology is a set of structural rules that represent concepts of a domain, which can be used to perform logic-based operations for retrieving or inferring new information. Ontologies have with them the knowledge of a particular domain expressed in the form of relational triples (subject, object, predicate). Several rules are expressed within the ontologies that define how the concepts in the domain are related. Rules are often expressed as a triple in the following format (concept, relation, concept). Often, in complex domains, such as smart city or smart home, there are several domains (and hence several ontologies) at play in parallel, hence requiring reasoning/intelligence across several domains and ontologies. Interoperability of information is necessary to find effective ways to align different ontologies. As the number of ontologies grows for a given domain, and as an overlap between ontologies grows …
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