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Knowledge Engineering (KE) refers to all technical, scientific and social as-pects involved in building, maintaining and using knowledge-based systems. KE is a multidisciplinary field, bringing in con...
Various urban models have been developed and are used in the urban domain, to perform for example air quality calculation, building energy consumption analysis or traffic simulation. The use of urban...
Information extraction tools like SMES transform natural language into formal representation, e.g. into feature structures. Doing so, these tools exploit and apply linguistic knowledge about the synta...
Nowadays, there are so many increasing amount of information within world-wide web. For these increasing amounts of information, we need efficient and effective index structure when we have to find ne...
Current technology facilitates access to the vast amount of information that is produced every day. Both individuals and companies are active consumers of data from the Web and other sources, and thes...
Ontologies have emerged as an important tool in the Enterprise architecture discipline to provide the theoretical foundations for designing and representing the enterprise as a whole or a specific are...
Ontology as an important representation model of semantic web has valuable application. A new ontology model on the basis of Computer Graphics (CG) knowledge is proposed, called CG ontology model. The...
The increasing interest on ontologies as the backbone technology for knowledge based systems implies the refinement of ontologies development methods. In this paper we propose a new approach to develo...
Intrusion detection is not new in the area of information security. It is crucial for the intrusion alerts management system to correlate the collected intrusion alerts to reflect the causal relations...
For more practical uses of multi-agent systems, the security on agents’ interactions is essential to allow only authorized interactions in multi-agent systems. In this paper, we propose a fine-grained...
This paper introduces a new approach dedicated to the Ontology Personalization. Inspired by works in Cognitive Psychology, our work is based on a process which aims at capturing the user-sensitive rel...
This paper introduces a novel design artefact, namely a generic situation management ontology based on situation theory. This ontology contributes to the foundation knowledge base of mobile service de...
When approaching electronic capital market design and microstructure with the focus of analysing and improving existing markets with end-state analysis, it is necessary to name an ideal objective. Th...
为解决企业实际应用中需要部分使用本体(Ontology)的问题,提出一种基于遗传禁忌算法的Ontology自动划分方法。按Ontology划分的要求,将概念被划分进的子Ontology编号组成的数字串作为一条染色体,设计遗传禁忌算法的适应度函数,给出Ontology划分算法的具体步骤。对比实验结果表明,该方法的划分平衡度和准确性优于其他方法。
针对如何在相似媒体之间进行有效关联,描述跨媒体的相似性等问题,提出一种新的跨媒体检索方法。提取多媒体对象的低层特征,利用Ontology对其进行组织,在语义层次实现多媒体关联。实验结果证明,基于Ontology的方式可以有效完成跨媒体检索。

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