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Background While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms...
The purpose of this paper is to present our research on applying semantic modelling and ontologies to the issues of products and services. Two selected issues are discussed: i) the collection and reuse of product-service lifecycle data in an IoT-enabled framework. The role of product-service ontology is demonstrated as a backbone of vehicle lifecycle management, ii) ontologies and semantic interoperability...
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