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基于primal RankRLS方法的本体映射算法 被引量：4

Ontology Mapping Algorithm Based on Primal RankRLS
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摘要 本体映射作为实现多本体间相互操作的重要手段,已广泛应用于诸多领域.应用原始RankRLS算法,将多本体图映射到实数轴,由此将本体图中每个顶点都映射成实数.通过比较两概念对应实数间的差值得到本体映射.实验表明,该算法有较高的效率. As an important means of multi-ontologies mutual operation, ontology mapping has been widely used in many fields. By applying primal RankRLS method, we map the ontology graphs into a line and the vertices into real numbers. The ontology mapping can be obtained via comparing the difference between their corresponding real numbers. Experimental results show that the proposed algorithm has high accuracy and efficiency.
作者 兰美辉 徐坚 高炜
机构地区 曲靖师范学院计算机科学与工程学院 云南师范大学信息学院
出处 《云南师范大学学报（自然科学版）》 2014年第3期37-40,共4页 Journal of Yunnan Normal University:Natural Sciences Edition
基金 国家自然科学基金资助项目(60903131)
关键词 本体 本体映射 排序 优先图Primal RankRLS Ontology Ontology mapping Ranking Preference graph Primal RankRLS
分类号 TP31 [自动化与计算机技术—计算机软件与理论]
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参考文献11

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同被引文献27

  • 1徐天伟,黄晓,周菊香,高炜.随机学习规则下的可学习性和LOO稳定性分析(英文)[J].苏州大学学报（自然科学版）,2012,28(4):30-35. 被引量：1
  • 2WANG Y,GAO W,ZHANG Y,et al. Ontology similarity computation use ranking learning Method[Cj. The 3rd International Cxmference on Computational Intelligence and Industrial Application, Wuhan, China, 2010 : 20-22.
  • 3HUANG X, XU T, GAO W, et al. Ontology Similarity Measure and Ontology Mapping Via Fast Ranking Method[J]. International Journal of Applied Physics and Mathematics, 2011,1 (1) : 54-59.
  • 4GAO W,LIANG L. Ontology similarity measure by optimizing NDCG measure and application in physics edu- cation[J]. Future Communication,Computing,Control and Management, 2011,142 ; 415-421.
  • 5CRASWELL N,HAWK1NG D. Overview of the TREC 2003 web track[C]. Proceedings of the Twelfth Text Retrieval Conference. Gaithersburg,Maryland,NIST Special Publication,2003:78-92.
  • 6GAO W,GAO Y,LIANG L. Diffusion and harmonic analysis on hypergraph and application in ontology simi- larity measure and ontology mapping[J]. Journal of Chemical and Pharmaceutical Research,2013,5(9):592 598.
  • 7GAO W,LIANG L,XU T.New multi-dividing ontology learning algorithm using special loss functions[J].The Open Cybernetics&Systemics Journal,2014,8(1),259-268.
  • 8GAO W,YAN L,LIANG L.Piecewise function approximation and vertex partitioning schemes for multi-dividing ontology algorithm in AUC criterion setting(I)[J].International Journal of Computer Applications in Technology,2014,50(3/4):226-231.
  • 9WU J,YU X,GAO W.Learning rate of gradient descent multi-dividing ontology algorithm[J].International Journal of Manufacturing Technology and Management,2014,28(4/5/6):217-230.
  • 10CRASWELL N,HAWKING D.Overview of the TREC 2003 web track[C].Proceedings of the Twelfth Text Retrieval Conference,Gaithersburg,Maryland,NIST Special Publication,2003:78-92.

引证文献4

二级引证文献8

云南师范大学学报（自然科学版）
2014年 第3期

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