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Semantic Data Mining refers to the data mining tasks that systematically incorporate domain knowledge, especially formal semantics, into the process. In the past, many research efforts have attested the benefits of incorporating domain knowledge in data mining. At the same time, the proliferation of knowledge engineering has enriched the family of domain knowledge, especially formal semantics and...
Life cycle assessment (LCA) as a decision support tool for evaluating the environmental load of products has been widely used in many fields. However, applying LCA in the building industry is expensive and time consuming. This is due to the complexity of building structure along with a large amount of high-dimensional heterogeneous building data. So far building environmental impact assessment (BEIA)...
The Publish and Subscribe (pub/sub) dissemination paradigm has emerged as a popular means of disseminating time-sensitive or filtered information, usually in the form of middleware within the enterprise systems of Service-Oriented Architectures (SOA). Through the use of an event service, or broker, published information is disseminated only to the subscribers interested in that information. However,...
The development of modern health care and clinical practice increase the need of nutritional and medical data extraction and integration across heterogeneous data sources. It can be useful for researchers and patients if there is a way to extract relevant information and organize it as easily shared and machine-processable linked data. In this paper, we describe an automatic approach that extracts...
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