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We focus on painting retrieval problem, and our motivation is to find out similar paintings and assist painting plagiarism identification. Similar painting retrieval is much more challenging than natural image retrieval, since different paintings have different styles and the similarity of paintings is difficult to measure. In this paper, we define the similarity of paintings from the perspectives...
Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains, such...
Current approaches for semantic management of business processes and services assume and build on semantic models which don't exist in practice. A key and open research problem is how to lift semantic models from existing process and service descriptions. In this paper, we are interested in extracting action capabilities from their textual descriptions. We first introduce a semantic frame-based capability...
In order to solve the problem of data exchange between heterogeneous systems with semantic aspect, combined with the latest requests of systems integration, such as loose coupling, expansibility, business restructuring, platform independence, the heterogeneous systems integration framework based on ontology theory and Enterprise Service Bus (ESB) architecture is brought out. The framework is founded...
This paper is devoted to some preparations for ontology-based semantic learning object metadata, including discovering the mappings between metadata elements and ontologies, and the development of relevant ontologies, i.e. Context Ontology and Content Ontology. The result shows that most of the standard metadata elements are compliant with ontology primitives, and it is feasible to enhance the semantic...
In the clustering of key points, the ratio of inter-class distance and intra-class distance is enlarged using Normalized SIFT vectors. In order to significantly make the ratio larger, a new normalization method is proposed, which is termed the ¡®normalization method based on seedpoints'. In image preprocessing, for the removal of the object background, a SIFT-based entropy method is given, while the...
The integration of business processes with sensors and smart devices will result in a better alignment of enterprise systems with a physical world. More recently, Business Process Modeling Notation (BPMN) 2.0 has become a standard for the business process modeling. BPMN 2.0 defines the formal semantics of its elements and provides means for its extensibility. Sensors and smart devices are the means...
Learning object recommendation is an emerging technology providing learners with adaptive learning objects or personalized services to overcome the disorientation and overload problems due to massive information. This paper proposes a new ontology-based framework for semantic content recommendation towards learning process. Noting that learning is a continuous self-constructing process based on semantic...
Privacy protection is one of the important topics in network security. Although a lot of work has been done, there are still some open issues and challenges that need to be addressed. Now, open and dynamic computing environments offer flexible and convenient sharing of information and services for users. Consequently, there exist a lot of different policies for privacy protection to deal with dynamic...
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