This, in turn, requires higher levels of automated discovery, transformation, mapping, and semantic understanding.
这就依次需要更高级别的自动发现、转换、映射和语义理解。
This is required for AD hoc composition, semantic brokering, and runtime discovery.
这就需要特别的组合、语义代理和运行时发现。
Ontologies enhance service discovery, modeling, assembly, mediation, and semantic interoperability.
存在论增强了服务发现、建模、汇集、协调和语义互操作性。
For better efficiency and accuracy, it needs semantic match between grid services to implement the service discovery, the service query, and the dynamic allocation and replacement of service.
在网格中要实现更加准确有效的服务发现、查询及其动态分配和替换，需要在语法匹配的基础上进一步实现语义匹配。
The originality of the thesis is manifested in the discovery of the semantic parameters in interlingual equivalents and the logical classification of semantic asymmetry across languages.
原创之处表现在：发现语际间对应语的语义参数并借此对英汉对应语间语义不对称现象进行逻辑分类。
Opportunity discovery is studied from the view of object-programming, aiming at providing a formalized and semantic theoretic basis for opportunity and its discovery.
从规划视角研究机遇发现，为机遇及其发现提供了形式化和语义化的理论基础。
The fourth chapter describes the ontology-based semantic relationship discovery and verification methods.
第四章介绍了基于本体的语义关系发现及验证方法。
These results illustrate the potential of Semantic Web technologies in chemical, biological, and pharmacological research and in drug discovery.
这些结果阐明了语义网技术在化学、生物学和药理学研究及药物发现中的潜力。
To solve these problems, computing entities need to understand and process information in the network, which is the support of service discovery on the "semantic" level.
解决上述问题，需要计算实体能够理解和处理网络中的信息，即需要“语义”层次上服务发现的支持。
Semantic association Discovery is to infer out further associations based on existing semantic associations by inventing algorithm.
语义关联发现基于现有的语义关联，使用算法推导出更深层次的语义关系。
Currently, the research of semantic service discovery is in the exploration phase, especially the uncertain information service discovery with no mature theory and technology.
目前语义服务发现的研究还处于探索阶段，特别是对于具有不确定信息的服务发现还没有成熟的理论和技术。
Chapter 5 further exploration of the whole method, will be extended our research to probability field, propose a probability-based semantic relationship discovery method.
第五章是对该方法的进一步探索，将研究扩展到基于概率语义关系发现的领域，提出了一种基于概率的语义关系发现方法。
2012-2015, Semantic Image Understanding and Recognition Based on Topic Discovery, Natural Science Foundation of China (NSFC), Co-PI.
基于主题发现的图像语义理解与识别，国家自然科学基金(地区科学基金项目)，2012- 2015，参与。
2012-2015, Semantic Image Understanding and Recognition Based on Topic Discovery, Natural Science Foundation of China (NSFC), Co-PI.
基于主题发现的图像语义理解与识别，国家自然科学基金(地区科学基金项目)，2012- 2015，参与。
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