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基于本体语义分析的三维文物模型检索 被引量:1

Ontology-based 3D Cultural Relics Retrieval
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摘要 随着互联网和计算机图形图像技术的迅猛发展,以三维模型为主要展现方式的多媒体资源数量呈现井喷式的增长,这不仅归因于三维模型具有更丰富的展现力,同时还弥补了图像和视频等多媒体资源在信息共享、存储、展示等多方面的不足。针对文物数字化保护领域中三维模型海量增长所带来的模型管理和检索等问题,提出了基于本体语义分析的三维文物模型快速检索方法。首先,对三维文物模型进行分类,构建针对文物领域的本体,建立模型的属性信息以及构建文物分类概念之间的关系;其次,根据本体之间的属性关系,建立该领域的相关推理规则,形成文物保护领域的语义网络;再次,利用本体语义信息以及本体之间的关联关系,生成本体信息之间的语义推理系统;最后,基于上述工作基础完成文物三维模型的快速、准确检索。实验结果表明,该方法在检索结果的查准率和查全率方面较传统检索方法达到了更好的效果。 With the rapid development of the Internet and computer graphics technology, the number of the multimedia resources which mainly uses 3D models to exhibit has a sharp growth. This is not only attributed to the rich show force of the 3D models, but also compensates the disadvantages of image and video multimedia resources such as information sharing, storage, and display. For model management and retrieval, and other issues brought about by the massive growth of 3D model in the field of digital preservation of cultural relics, a method of ontology-based 3D relics model retrieval was proposed. First, the 3D models were classified, and the attribute information of the model and the relationship between the concept of cultural relics were built. Second, the relationship between the ontologies was used to establish the rules and the semantic network. Third, the semantic ontology reasoning system was generated. Last, the system for quick and accurate retrieval of the 3D models was implemented. The experimental results show that the proposed method achieves better results than traditional methods.
出处 《系统仿真学报》 CAS CSCD 北大核心 2012年第9期1849-1853,共5页 Journal of System Simulation
基金 国家自然科学基金(61170203 61001168 60873094) 国家科技支撑计划(2012BAH33F04) 北京市重点实验室阶梯计划(Z111101055311056)
关键词 本体 三维模型检索 文物数字化保护 虚拟现实 ontology 3D model retrieval digital protection of cultural relics virtual reality
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参考文献8

  • 1邓志鸿,唐世渭,张铭,杨冬青,陈捷.Ontology研究综述[J].北京大学学报(自然科学版),2002,38(5):730-738. 被引量:765
  • 2Deborah L McGuinness, Frank van Harmelen. OWL web ontology language overview [EB/OL]. (2004) [2012]. http://www.w3 .org/TR/owl- features/.
  • 3Grigoris Antoniou, Frank van Harmelen. A Semantic Web Primer [M]. Cambridge Massachusetts London, England: The MIT Press, 2008.
  • 4Nicola Guarino. Understanding, Building, and Using Ontologies [J]. International Journal of Human-Computer Studies (S 1071-5819), 1997, 46: 293-310.
  • 5阮佳彬,杨育彬,林金杰,韦伟.基于本体词汇的三维模型语义检索[J].计算机科学,2009,36(2):152-154. 被引量:12
  • 6My Abdellah Kassimi, Omar El Beqqali. 3D Model Retrieval Based on Semantic and Shape Indexes [J]. International Journal of Computer Science Issues (S 1694-0814), 2011, 8(3 - 1): I-7.
  • 7Christopher Brewster, Fabio Cimvegna, Yorick Wilks. User-Centered Ontology Learning for Knowledge Management [J]. Lecture Notes in Computer Science (S0302-9743), 2002, Volume 2553/2002: 203-207.
  • 8李永超,罗钧旻.语义Web中的本体推理研究[J].计算机技术与发展,2007,17(1):101-103. 被引量:13

二级参考文献45

  • 1邓芳.Ontology在语义Web中的应用研究[J].计算机应用研究,2004,21(6):97-98. 被引量:25
  • 2高琦,陈华钧.互联网Ontology语言和推理的比较和分析[J].计算机应用与软件,2004,21(10):73-76. 被引量:9
  • 3Yang D,Powers D M. Measuring semantic similarity in the taxonomy of WordNet[ A] ,//Proceedings of the Twenty-Eighth Australasian Conference on Computer Science[C]. Darlinghurst, Australia, Australia: Australian Computer Society, 2005 :315-322
  • 4Fellbaum C. WordNet :An Electronic Lexical Database[M].Cambridge, Mass : Bradford Books, 1998
  • 5Khan L, Luo F. Ontology Construction for Information Selection[A]///ICTAI ' 02 : Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence[C]. Washington DC: IEEE, 2002:122-127
  • 6Baziz M, Boughanem M, Aussenac-Gilles N, et al. Semantic cores for representing documents in IR[A]//SAC'05: Proceedings of the 2005 ACM symposium on Applied computing[C]. New York: ACM, 2005 : 1011-1017
  • 7Guarino N, Masolo C, Vetere G. OntoSeek.. Content-Based Access to the Web[J].IEEE Intelligent Systems, 1999,14(3) : 70- 80
  • 8Hovy E,Knight K, Marcu D, et al. Large Resources Ontologies (SENSUS) and Lexicons[EB/OL]. http://www, isi. edu/natural-lang uage/projects/ONTOLOGIES, html, 2008-05-14
  • 9Bwalenz,Didion J. JWNL - Java WordNet Library[EB/OL]. http://jwordnet, sourceforge, net, 2008-05-14
  • 10HP Labs Semantic Web Research. Jena-A Semantic Web Framework for Java[EB/OL]. http://jena, sourceforge, net/index, html, 2008-05-14

共引文献784

同被引文献10

  • 1Henrichs S. 3ds max environment modeling #1: Procedural stone modeling- 1 .html, [2010].(2013.7) Gaspar.
  • 2J. Google SketchUp Pro 8 step by step [M]. USA: VectorPro Publisher, 2011: 1-3.
  • 3Gallup D, Frahm J M, Pollefeys M. A heightmap model for efficient 3d reconstruction from street-level video [C]//Proc., Int. Conf. on 3D Data Processing, Visualization and Transmission, 2010. Paris,May,2010: 1-10.
  • 4Seversky L M, Yin L. Real-time automatic 3D scene generation from natural language voice and text descriptions [C]// Proceedings of the 14th annual ACM international conference on multimedia. USA: ACM, 2006: 61-64.
  • 5O Akerberg, H Svensson, B Schulz, P Nugues. Carsim: an automatic 3d text-to-scene conversion system applied to road accident reports [C]//EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2, Association for Computational Linguistics Stroudsburg, PA, USA. 2003:191-194.
  • 6Funkhouser T, Kazhdan M, Shilane P, et al. Modeling by Example. [C]// Proceedings of the 2004 ACM Siggraph, New York, USA. USA: ACM, 2004: 652-663.
  • 7Remondino F, Sabry E. Image-based 3D Modelling: A Review [J]. The Photogrammetric Record (S1477-9730), 2006, 21(115): 269-291.
  • 8Engel D, Herdtweck C, Browatzki B, et al. Image Retrieval with Semantic Sketches [J]. Human Computer Interaction 2011, Lecture Notes in Computer Science (S1687-5893), 2011, 6946: 412-425.
  • 9David G Lowe. Distinctive Image Features from Scale-Invariant Keypoints [J]. International Journal of Computer Vision (S0920-5691) 2004, 60(2): 91-110.
  • 10Lindeberg T. Scale-space theory: A basic tool for analysing structures at different scales [J]. Journal of Applied Statistics (S0266-4763), 1994, 21(1-2): 225-270.

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