另一方面可以实现多维结构检索，满足不同系统的要求。
It can also realize multidimensional indexing and meet the requirements of different systems.
采用子结构检索、公共子结构寻找和相似指数计算的方法研究了红外特征峰与对应子结构的相互关系。
This paper introduces a method which determinate the characteristic peak of IR through substructure searching, common substructure spreading, similarity index calculating.
它具有化学结构检索和文字检索两大检索功能，并便于数据库维护、中文处理、图形存贮和使用方便等特点。
It is satisfied in maintenance of database, treatment of Chinese text and storing of graph. It is easy to use.
结构检索方法建立在图子图匹配算法VF 2的基础上，对其进行了必要的改造和扩展，使之适合于化学结构检索。
The VF2 graph matching algorithm on which the chemical structure search system was based has been modified and extended appropriately.
与使用XML表示的数据进行交互的第一步是把数据作为一个XML文件，对其进行检索并进行分解，以创建数据结构来接入该文件中的内容。
The first step in interacting with data represented as XML is to retrieve it as an XML document and parse it to yield a data structure for accessing the contents of the document.
这两种检索类型是最快的，因为它们不需要构建额外的数据结构。
These two types of retrievals are the quickest, as no additional data structures have to be built.
这两种文件类型都将其文件和目录数据链接到AIXlvm所使用的存储和检索结构中。
Both filesystem types link their file and directory data to the structure used by the AIX LVM for storage and retrieval.
只有盲目、全面的文档检索(这会再次忽略内部XML结构)能够快速从clob列读取XML文档。
Only a blind full document retrieval, which again ignores the internal XML structure, can quickly read XML documents from CLOB columns.
最后，XML消息解析通常需要动态创建内存结构(如对象)来存储检索的数据值。
Finally, XML message parsing usually involves dynamically creating the memory structures (like objects) to store the retrieved data values.
LDAP数据库以具有层次结构的条目为基础，存储和检索信息，其中每个条目都具有区别于其他条目的名称、类型和属性。
The LDAP database stores and retrieves information based on a hierarchical structure of entries, each with its own distinguishing name, type, and attributes.
本文探究XML和PHP可以如何提供结构和检索机制，来满足这种审计支持。
This article explores how XML and PHP can provide the structure and retrieval mechanism to give this kind of auditing support.
内部存储结构很容易影响API架构，以及信息检索与遍历的方式。
The internal structure of the storage can easily affect the API architecture and the way information is retrieved and traversed.
初始的元数据结构储存在一个类似于SQL的数据库中，用于简单的检索。
The raw metadata structures are stored in an SQL-like database for easy querying.
基本上，当一个SDO客户机需要检索数据时，它使用DMS来请求数据图，DMS负责管理对数据源的访问，并根据接收到的信息来创建一个图，通常这个图是一个分层的树结构，其中包含了几个数据对象。
Basically, when an SDO client needs to retrieve data, it USES the DMS to require a data graph. The DMS manages the data source access and creates a graph with the information received.
在之前获取所有员工的检索操作时，所返回的结构是Notes对象DocumentCollection。
In the previous retrieval to get all employees, the structure returned is a Notes object, DocumentCollection.
在使用ifreq结构中的配置信息填充了列表之后，可以对其进行遍历以检索所需的数据。
Once the list is filled with the configuration information from ifreq structures, it can be traversed to retrieve required data.
可以随机查找数据组，且可基于数据库中一个称为“架构”的结构中定义数据的方式检索相关数据。
Data groups can be found randomly, and associated data can be retrieved based on the way the data is defined to the database in a structure called a "schema."
正如我在前面介绍的那样，可以使用tie ' d变量和MLDBM文家锁定来检索和更新所需的哈希数据结构。
As I noted previously, the necessary hash data structures were retrieved and updated using tie'd variables and MLDBM file locking.
很好，但是您对这种结构所能做的只是通过单独的(或者多维的)索引来设置和检索元素。
Good enough, but about all you can do with this structure is set and retrieve elements by individual (multi-dimensional) index. In contrast, a Numarray array is a bit more flexible.
为了从多个文件检索信息，我使用了xsl：document函数，只要您是处理平板文件结构，这个函数很容易使用。
To retrieve information from multiple files, I used the XSL: document function, which is easy to use as long as you are dealing with a flat file structure.
由于web服务完成了检索股票数据并存储在一个简单的数据结构中，所以我只需要将数据转换成rdf。
Because the web service does the work of retrieving the stock ticker data and storing it in a simple data structure, I only needed to convert that data to RDF.
YQL基本上就是一种基于SQL的查询语言，允许以标准的方式从多个服务中查询和检索结构化数据。
YQL is basically a query language based on SQL that lets you query and retrieve structured data from multiple services in a standard way.
为了从表中检索结构化类型数据，必须有一些将类型转换成一个标量值，换句话说，这些值的类型必须基于某种内置的DB2 数据类型。
To retrieve structured type data from a table, there must be some way to convert that type into a single scalar value whose type, in turn, must be based on one of the built-in DB2 data types.
系统需要一种以结构化格式存储和检索信息的方法；这就需要文件系统的参与。
The system needs a way to store and retrieve information in a structured format; this is where the filesystem comes in.
清单12给出了一个检索地址的有趣的示例，因为它能从两个实例中返回地址信息，但结果用不同的结构表示。
Listing 12 presents an interesting example of retrieving the addresses because it returns the address information from both instances, but the results present different structures.
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。
Database search is great to retrieve structured and exactly matched data, but it requires highly specialized knowledge on query construction and data model familiarity.
您已了解了体系结构组件以及它们在支持广告、查找、检索、管理和治理服务元数据方面如何相关。
You learned about the architectural components and how they relate in allowing service metadata to be advertised, found, retrieved, managed, and governed.
带有超级链接的结构化文档更加灵活和强大；顾客只检索到相关部分。
Documents structured with hyperlinks are more flexible and atomic; the consumer retrieves only the relevant pieces.
在断开连接的数据图形体系结构下，客户机将从数据源检索数据图，对数据图进行变异操作，然后将数据图更改应用回数据源。
Under the disconnected data graphs architecture, a client retrieves a data graph from a data source, mutates the data graph, and can then apply the data graph changes back to the data source.
el从jsp容器检索数据，遍历对象层次结构，然后对结果执行简单的操作。
The EL retrieves data from the JSP container, traverses object hierarchies, and performs simple operations on the results.
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