In addition to using this model for explaining the scope of data architecture work, you can use it to build a map of the current state of knowledge, and the scope of ongoing or planned activities.
除了利用该模型来阐述数据架构工作的范围，您还可以利用它来建立知识的当前状态和正在进行或计划着的活动的范围的映象。
Prior application knowledge based on the data model can be a good place to start.
先前基于数据模型的应用程序知识便是很好的起点。
Knowledge of the structure: As we have already seen, SDOs carry internal knowledge of the structure of the data they represent (the model).
结构的知识：我们已经了解到，SDO携带数据结构表现(即模式)的内部知识。
Database search is great to retrieve structured and exactly matched data, but it requires highly specialized knowledge on query construction and data model familiarity.
用数据库搜索来检索结构化且严格匹配的数据十分管用，但这需要对查询结构和数据模型十分熟悉和了解才行。
The Semantic Web in Linked Data format is a perfect way to represent knowledge on the Web because the object-oriented model is simple to understand.
Linkeddata格式的语义Web是在Web上呈现知识的理想方式，原因是面向对象的模型很容易理解。
The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS.
将数据仓库、OLAP、数据挖掘、模型库、知识库系统结合起来形成的综合集成决策支持系统是更高形式的决策支持系统。
VII. Beyond the Ivory Tower to a New Research Model: Open Data, Open Knowledge, Open solutions.
从象牙塔到研究新模式：公开数据，公开知识，公开解决方案。
The second part discussed the theoretical knowledge and data models of DGNDBS; studied the feature, work model and main technique of the network database system.
第二部分从理论上讨论了动力大地测量网络数据库系统的基础知识和数据模型，研究了网络数据库系统的特点、工作模式以及主要技术。
As the data base of the GIS digital terrain analysis, digital Elevation Model (DEM) contains rich of terrain, topography and related geo-information and knowledge.
数字地形模型(DEM)包含着丰富的地形、地貌及相关的地学信息与知识，是GIS数字地形分析的数据基础。
Its essence is to realize semantic annotation of academic resources data and complete the domain knowledge description under the guidance of the conceptual model of the ontology.
其实质是在本体概念模型的指导下，实现对学术资源数据的语义标注，完成领域内的知识描述。
Among various data mining technologies, Evolution Computing has been widely applied in complex problem handling because it requires little field knowledge and no prior model.
进化计算模型不需要太多领域知识和建立先验模型，在处理复杂的数据挖掘问题中得到了广泛的青睐。
The data model design based on hypergraph has an object-oriented character, which is convenient for setting up models for information knowledge network with respect to opportunity discovery.
基于超图映射的数据模型设计具有面向对象的特性，便于对机遇发现相关的信息知识网络进行建模。
Rough set data analysis in the knowledge discovery in database (KDD) is different to other KDD methods, especially with respect to model assumption.
粗集数据分析不同于其它知识发现方法，特别在模型假设方面的一种方法。
The design process of arc gate is analyzed, and design methods of knowledge model, inference model and data structure of intelligent CAD system in arc gate are discussed.
分析了弧形闸门设计过程，探讨了弧形闸门智能CAD系统的知识模型和推理模型及其数据结构的设计方法。
Here we describe knowledge representation model oriented entity, database conversion, instantiation of the knowledge base, rule editor and data check-up algorithm.
在这里我们描述了面向实体的知识表示模型、数据库到知识库的转换、知识库的实例化、规则编辑器以及数据校验算法。
A new fuzzy data model method has been gaven after studying the fuzzy knowledge representation. This method describes fuzzy data with fuzzy relation of attribute weight.
研究了模糊知识的表示方法，提出了一种表示模糊知识的模糊数据模型，利用属性加权模糊值来表示模糊性数据。
In this paper, a knowledge discovery model based on data extractor is proposed.
提出了基于数据抽取器的知识发现模型。
Finally, on the basis of the knowledge and rule, the paper designs checking model for urban pipe-line data, moreover, it introduces the realization of this checking by using many successful instances.
最后，在知识与规则的基础上，设计了城市管线数据校验的模型，并以应用实例对此模型进行了验证。
To obtain knowledge and data from incomplete decision table(IDT), the paper presents a new doubly variable precision limited tolerance rough set theory model(VPLTRST).
为了能够从不完备决策表（IDT）中进行知识发现和数据挖掘，提出一种新的具有对称性的双重可变精度限制容差关系粗集模型（VPLTRST）。
Semantic association is defined as the representation of rich knowledge about binary relation in semantic data model.
语义关联是语义数据模型中实体之间二维关系的知识表示形式。
The kernel estimation method analyzes the data distribution by not using the prior knowledge of data distribution. This method avoids the impaction of model and parameters estimation.
核密度估计方法从数据样本本身出发研究数据分布特征，不利用有关数据分布的先验知识，避免了模型估计和参数估计的主观影响。
Its models have developed from mathematical models to generalized ones that include data processing model, graphic models, knowledge model etc.
它的模型已经由数学模型扩展到包括数据处理模型、图形模型、知识模型等的广义模型。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
Considering spatial spillover effects of outputs and inputs, a modified knowledge production spatial panel data model is established.
在综合考虑知识产出和投入空间溢出效应的基础上，构建了改进的知识生产空间面板数据模型。
However, the spatial data model of main GIS systems only reflect knowledge of management and manipulation objects in field of cartography, such as point, line and poly geometry objects.
当今的GIS系统的空间数据模型，主要反映地图制图领域的点、线、面对象管理与操作的几何知识。
Afterwards, the goal, structure and function of PSSEDSS are analyzed and the data base, model base, knowledge base necessary for decision-making are set up as following.
接着对泵站机组启停决策支持系统的目标、结构和功能做了分析，建立了决策所需要的数据库、模型库和知识库。
The data mining is also called the knowledge discovery in database, which discovers from large quantity of data and find authentic, novel and effective model that can be comprehended by people.
数据挖掘可以称为数据库中的知识发现，它是从大量数据中发现并提取隐藏在其中的可信的、新颖的、有效的并能被人理解的模式的高级处理过程。
Concept lattice is a newly prosperous knowledge representation model and is the core data structure of Formal Concept Analysis.
概念格是一种新兴的基于概念的知识表示模型，是形式概念分析的核心数据结构。
Concept lattice is a newly prosperous knowledge representation model and is the core data structure of Formal Concept Analysis.
概念格是一种新兴的基于概念的知识表示模型，是形式概念分析的核心数据结构。
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