| 异构定性空间推理 |
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| 引用本文： | 王生生,刘大有. 异构定性空间推理[J]. 电子学报, 2012, 40(1): 89-94. DOI: 10.3969/j.issn.0372-2112.2012.01.015 |
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| 作者姓名： | 王生生 刘大有 |
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| 作者单位： | 吉林大学计算机科学与技术学院,吉林长春130012;吉林大学符号计算与知识工程教育部重点实验室,吉林长春130012 |
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| 基金项目： | 国家自然科学基金，吉林大学科学前沿与交叉学科创新项目，种子基金 |
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| 摘 要： | 现有定性空间推理研究主要解决单类对象、单种空间关系的定性约束满足问题.提出了异构定性空间推理概念,它包括不同种类空间关系结合(异构关系)、不同种类空间对象结合(异构对象)和定性定量对象融合三种情况下的空间关系约束满足问题.提出了三种以上异构关系的结合推理,此前工作以研究二元结合为主;给出了异构对象空间推理算法,此前工作仅研究表示模型;研究了定性定量对象融合的空间推理,该问题也可表达为部分解向全局解的扩展.上述研究结果可应用于环境智能和其他领域.
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| 关 键 词： | 定性空间推理 多类空间关系结合 多类空间对象结合 定性定量对象融合 |
| 收稿时间： | 2010-08-19 |
Heterogeneous Qualitative Spatial Reasoning |
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| WANG Sheng-sheng,LIU Da-you. Heterogeneous Qualitative Spatial Reasoning[J]. Acta Electronica Sinica, 2012, 40(1): 89-94. DOI: 10.3969/j.issn.0372-2112.2012.01.015 |
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| Authors: | WANG Sheng-sheng LIU Da-you |
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| Affiliation: | 1,2(1.College of computer science and technology,Jilin University,Changchun,Jilin 130012,China;2.Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education,Jilin University,Changchun,Jilin 130012,China) |
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| Abstract: | Previous qualitative spatial reasoning(QSR) studies the qualitative constraints satisfaction problem for single relations on single kind of objects.Heterogeneous QSR is proposed,which includes the spatial reasoning for heterogeneous spatial objects,heterogeneous spatial relations and the fusion of qualitative and quantitative objects.The combination of more than three heterogeneous relations is studied,while the previous works focused on two relations.The reasoning algorithm for heterogeneous objects is given,while previous works only studied the representation models.The spatial reasoning which combines qualitative objects and quantitative objects is put forward.An alternative expression for this problem is the extension from a partial solution to a global solution.These results can be applied to Ambient Intelligence and other applications. |
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| Keywords: | qualitative spatial reasoning combining multi-types spatial relations combining multi-types spatial objects qualitative and quantitative spatial information fusion |
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