nli怎么读,nli的音标和真人发音
  

nli是什么意思,nli的意思是

自然语言接口

nli 的用法和双语例句“点击”或“选中”例句中的单词,就可以看到词义解释

ABSTRACT In this paper , we probed into the design of NLI to anexpert system for database design using AI technology .
该文应用人工智能技术对数据库设计专家系统的自然语言接口设计作了初步探索。
This often prohibits NLI for incremental bulk inserts in production systems , but can be useful for the initial population of an empty table .
这一点将妨碍生产系统中进行NLI的增量批量插入,但是对于空表的初始填充比较有用。
Semantic Retrieve based on the Ontology that this paper researched is the Semantic Retrieve based on the concept made by the Ontology , which not only have some semantic processing capacity and good NLI , but also can process the problem of the relation between the related concepts .
而基于本体论的语义检索则是利用本体构建概念空间的语义检索,具有一定的语义处理能力和较好的自然语言接口,而且可以处理有关概念关系的问题。
As an example , a natural language interface ( NLI ) having a limited subset of English to a specific expert system for database design ( ERGTORS ) is designed and implemented with TURBO PROLOG on IBM PC.
作为实例,为数据库设计专家系统(ERGTORS)设计了一个具有有限英语子集的自然语言接口(NLI),并在IBMPc上用TurboProlog实现。
Ontology is an advanced technology of representing knowledge in AI . , where specified concepts and relationships are used to describe information . Ontology-based semantic retrieval as one of the important direction of intelligent information , which use ontology to build sharable and conceptual data resource , not only have semantic processing capacity and NLI , but also are able to process logic of related concepts .
基于本体的语义检索作为智能信息检索技术的一个重要领域,利用本体构建可共享、概念化的知识空间,实现对知识内容的结构化描述,具有一定的语义处理能力和较好的自然语义理解能力,而且可以处理概念关系逻辑,因而对于提高信息检索的质量和促进信息资源的利用率和共享,具有重要的研究价值。
If using NLI , keep your eye on the elapsed times of your commits .
如果使用NLI,就要瞪大眼睛盯紧提交操作所耗费的时间。
NLI : A Natural Language Interface to Expert System for Database Design
NLI:一个数据库设计专家系统的自然语言接口
However , as test8 showed , utilizing NLI with aggressive page cleaning can shorten the elapsed time substantially .
不过,test8表明,将NLI与积极的页清除一起使用的时候,可以大大减少耗时。
CDSA MODEL AND ITS REALIZATION BY NLI TO RELATIONAL DATABASE
CDSA模型及其在关系数据库自然语言接口中的实现