[1]张楚才,刘昀岢,瞿绍军.一种基于本体和自定义规则的情景推理方法[J].计算机技术与发展,2014,24(04):139-142.
 ZHANG Chu-cai[],LIU Yun-ke[],QU Shao-jun[].A Context Reasoning Method Based on Ontology and User-defined Rules[J].,2014,24(04):139-142.
点击复制

一种基于本体和自定义规则的情景推理方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年04期
页码:
139-142
栏目:
智能、算法、系统工程
出版日期:
2014-04-30

文章信息/Info

Title:
A Context Reasoning Method Based on Ontology and User-defined Rules
文章编号:
1673-629X(2014)04-0139-04
作者:
张楚才1;刘昀岢2;瞿绍军1
1.湖南师范大学 数学与计算机科学学院;2.武警8654部队
Author(s):
ZHANG Chu-cai[1]LIU Yun-ke[2]QU Shao-jun[1]
关键词:
情境推理情境感知本体普适计算
Keywords:
context reasoningcontext-awarenessontologypervasive computing
分类号:
TP181
文献标志码:
A
摘要:
情境感知技术是普适计算研究的重要方向,而情境推理是情境感知系统的核心部分。针对目前智能空间中情境推理方法存在的推理实现便捷性和满足应用特殊要求难以兼顾的问题,对基于相似度计算、基于多值逻辑、基于规则和基于本体等主流情境推理方法进行了优缺点分析,在此基础上提出了一种基于本体和自定义规则的情景推理方法。利用一阶谓词逻辑对情境信息进行描述,选择Jena作为情境推理的工具,并对情境推理的实现流程进行了详细讨论。以智能家居应用场景为例验证了该方法的有效性。
Abstract:
Context-aware technology is an important research direction of pervasive computing,and context reasoning is the core of con-text-aware systems. In view of the existing context reasoning method is difficult to fulfill the convenience of reasoning to realize and meet the application requirements in intelligent space simultaneously,based on the analysis of advantages and disadvantages of mainstream con-text reasoning methods at present such as those based on the similarity calculation,based on multi-value logic,based on rule reasoning and based on ontology,a context reasoning method based on ontology and user-defined rules is proposed. Then the first-order predicate logic is used for the representation of context. Jena is chosen as the context reasoning tool,and the realization process of context reasoning is discussed in detail. The effectiveness of the method proposed is verified under the environment of intelligent home.

相似文献/References:

[1]李向阳 李玲娟 陈建新 徐小龙.面向情境感知的不确定性数据融合策略[J].计算机技术与发展,2012,(02):127.
 LI Xiang-yang,LI Ling-juan,CHEN Jian-xin,et al.Strategy of Uncertainty Data Fusion for Context-Awareness[J].,2012,(04):127.
[2]余涛.利用情境感知提高LBS适切性的研究[J].计算机技术与发展,2012,(08):216.
 YU Tao.Research on Improving LBS Appropriateness by Applying[J].,2012,(04):216.
[3]黄涵霞,丁强,李莉,等.移动终端智能引擎平台研究[J].计算机技术与发展,2014,24(06):184.
 HUANG Han-xia[],DING Qiang[],LI Li[],et al.Research on Mobile Terminal Crowdsourcing Platform[J].,2014,24(04):184.
[4]吴楠,秦锋,姜太平. 一种基于用户情境聚类的个性化推荐算法[J].计算机技术与发展,2014,24(10):106.
 WU Nan,QIN Feng,JIANG Tai-ping. A Personalized Recommendation Algorithm Based on User Context Clustering[J].,2014,24(04):106.
[5]王有远[],张乐恩[]. 基于情境感知的设计资源服务需求获取研究[J].计算机技术与发展,2017,27(05):10.
 WANG You-yuan[],ZHANG Le-en[]. Investigation on Acquisition of Designing Resources ServiceRequirements with Context Awareness[J].,2017,27(04):10.
[6]唐东平,吴邵宇.基于情境感知的餐饮 O2O 推荐系统研究[J].计算机技术与发展,2020,30(01):118.[doi:10. 3969 / j. issn. 1673-629X. 2020. 01. 021]
 TANG Dong-ping,WU Shao-yu.Research on Catering O2O Recommendation System Based on Context Awareness[J].,2020,30(04):118.[doi:10. 3969 / j. issn. 1673-629X. 2020. 01. 021]
[7]李修贤,王桂玲,石永鹏.面向主动式 BPM 的 IoT 服务动态绑定方法[J].计算机技术与发展,2023,33(09):64.[doi:10. 3969 / j. issn. 1673-629X. 2023. 09. 010]
 LI Xiu-xian,WANG Gui-ling,SHI Yong-peng.A Dynamic Binding Method for IoT Services towards Proactive BPM[J].,2023,33(04):64.[doi:10. 3969 / j. issn. 1673-629X. 2023. 09. 010]

更新日期/Last Update: 1900-01-01