semantic reasoning

Our system adopts tree hierarchy semantic network and causal network model according to different knowledge content, applys inexact mixed reasoning to enhance the veracity of the result.

系统根据蔬菜栽培知识的内容不同分别采用了树形层次语义网络和因果网络模型两种知识表示形式，并运用了不精确混合推理策略，使得系统推理更快更准确。

Auto-reasoning methodology based on knowledge and semantic net in process planning

基于知识和语义网络的加工流程自动推理算法

We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.

我们介绍了一种新的概念化框架，语义图像挖掘，使得研究者能够在网络数据分析中将图像挖掘和本体论推论结合起来。

Semantic reasoning is an important link in developing Semantic Web.

语义推理是语义网技术中的重要一环。

An Auto-Reasoning Process Planning Approach with Knowledge Framework and Semantic Net

加工流程自动化推理的知识框架语义网络算法

Web service discovery provides simple keyword-based search method, which does not support semantic reasoning.

目前Web服务发现机制仅提供了简单的基于关键字的搜索方法，缺乏对语义推理的支持。

The Prolog rough fuzzy fact base and the Prolog rough fuzzy rule base are used to constitute the knowledge base in the knowledge reasoning system. Finally, the knowledge reasoning system supported by the semantic Web rough fuzzy ontology is designed and developed.

由粗糙模糊事实知识库和粗糙模糊规则知识库组成知识推理系统的知识库最后，设计并实现语义Web粗糙模糊本体支持的知识推理系统。

Research on Domain Ontology Model and Semantic Reasoning of Animation Material

动画素材的领域本体模型与语义推理研究

Semantic modeling technologies, such as RDF, can help ease the problem of automatic reasoning between different data sets, provided that it is built-in to the data-store.

语义建模技术，例如RDF，可以帮助简化对不同数据集之间自动进行推理所面临的问题，这些数据集是内嵌在数据存储介质中的。

Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph

基于概念语义网络图的RDF知识推理研究与实现

Semantic reasoning is the realization of knowledge retrieval another key.

语义推理是实现知识检索的另一个关键。