计算机科学 ›› 2022, Vol. 49 ›› Issue (9): 215-220.doi: 10.11896/jsjkx.210700190
吴子仪, 李邵梅, 姜梦函, 张建朋
WU Zi-yi, LI Shao-mei, JIANG Meng-han, ZHANG Jian-peng
摘要: 随着知识图谱在人工智能领域的发展,对不同源的知识图谱进行融合,以得到覆盖范围更广的知识图谱的需求日益增加。本体作为知识图谱的上层结构,对知识图谱的构建具有指导作用。为了解决知识图谱融合中本体对齐的问题,文中提出了基于自注意力模型融合多维相似度的方法,从而提高本体对齐的精度。首先,对来自两个本体的概念进行基于字符串的、基于语义的和基于结构信息的多维度相似性度量;然后,使用自注意力模型对上述多种相似度度量结果进行融合,进而判断是否相似并进行对齐。在公开数据集上进行实验,实验结果表明,相比现有的本体对齐方法,所提方法通过聚合多维度的相似性特征能够得到更优的对齐结果。
中图分类号:
[1]EUZENAT J,SHVAIKO P.Ontology Matching[M].Berlin:Springer-Verlag,2007:25-54. [2]WANG S,KANG D Z,JIANG D Y.Survey of Ontology Mapping[J].Computer Science,2017,44(9):1-10. [3]XU J,FANG A,HONG N.An Ontology Mapping MethodBased on Lexical Similarity Calculation[J].New Technology of Library and Information Service,2013,29(2):36-42. [4]YAO X M,WANG F,LIN L F,et al.An Efficient Multi-policy Ontology Mapping Method[J].Chinese Science and Technology Papers,2013,8(7):642-647. [5]YU J,XIONG Z H,OU Z H.Eliminating Redundant Ontology Relations Based on Hasse Diagram[J].Journal of the China Society for Scientific and Technical Information,2015,34(3):279-285. [6]JIANG M,YU M G,WANG Z X.Multi-strategy AdaptiveLarge-scale Ontology Mapping Algorithm[J].Computer Engineering,2019,45(3):14-19. [7]EUZENAT J,GUÉGAN P,VALTCHEVP.OLA in the OAEI2005 alignment contest[C]//Proceedings of the K-CAP 2005 Workshop on Integrating Ontologies.2005:61-71. [8]NEZHADI A,SHADGAR B,OSAREH A.Ontology Alignment Using Machine LearningTechniques[J].International Journal of Computer Science & Information Technology,2011,12(3):139-150. [9]ALBOUKAEY N,JOUKHADAR A.Ontology Matching as Regression Problem[J].Journal of Digital Information Management,2018,16(1):85-99. [10]LEV B,SERGEY S.Applying of Machine Learning Techniques to Combine String-based,Language-based and Structure-based Similarity Measures for Ontology Matching[C]//Selected Papers of the XXI International Conference on Data Analytics and Management in Data Intensive Domains.2019:129-147. [11]SENGODAN M,SAMUKUTTY A.Explicit Link DiscoveryScheme Optimized with Ontology Mapping using Improved Machine Learning Approach[J].Studies in Informatics and Control,2021,30(1):189-201. [12]SABOU M,THIÉBLIN E,HAEMMERLÉ O,et al.Survey on complex ontology matching[J].Semantic Web,2020,11(4):32-62. [13]WANG R J.Research on Ontology Mapping Methods[D].Changchun:Jilin University,2012. [14]LOU W,WANG H,JU Y.An ontology fusion method based on binary similarity calculation[J].Journal of the China Society for Scientific and Technical Information,2019,38(6):622-631. [15]SUN X.Research on Ontology Alignment Based on Word Embedding[D].Harbin:Harbin Institute of Technology,2020. [16]CHEN E J,JIANG E B.Review of Studies on Text Similarity Measures[J].Data Analysis and Knowledge Discovery,2017,1(6):1-11. [17]LIN H L,WANG Y Z,JIA Y T,et al.Network Big Data Oriented Knowledge Fusion Methods:A Survey[J].Chinese Journal of Computers,2017,40(1):1-27. [18]KANG S Z,JI L X,ZHANG J P.Ontology Alignment Method Based on Word Embedding and Conceptual Context Information[J].Journal of Information Engineering University,2020,21(5):607-613. [19]SAEDI C,BRANCOA,RODRIGUES J,et al.Wordnet embeddings[C]//Proceedings of the Third Workshop on Representation Learning for NLP.2018:122-131. [20]JANG B,KIM I,KIM J W.Word2vec convolutional neural networks for classification of news articles and tweets[J].PloS One,2019,14(8):178-189. [21]LE Q V,MIKOLOV T.Distributed Representations of Sen-tences and Documents[C]//International Conference on Machine Learning.2014:1188-1196. [22]VASWANI A,SHAZEER N,PARMAR N,et al.Attention isall you need[C]//Advances in Neural Information Processing Systems.2017:5998-6008. [23]LIN T,GOYAL P,GIRSHICK R,et al.Dollar Piotr.Focal Loss for Dense Object Detection[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,42(2):178-185. [24]DAVID J,GUILLET F,BRIAND H.Association Rule Ontology Matching Approach[J].In:International Journal on Semantic Web and information systems,2007,3(2):27-49. [25]ECKERT K,MEILICKE C,STUCKENSCHMIDT H.Impro-ving ontology matching using meta-level learning[C]//Euro-pean Semantic Web Conference.Berlin:Springer,2009:158-172. |
[1] | 王毅, 李政浩, 陈星. 基于用户场景的Android 应用服务推荐方法 Recommendation of Android Application Services via User Scenarios 计算机科学, 2022, 49(6A): 267-271. https://doi.org/10.11896/jsjkx.210700123 |
[2] | 王省, 康昭. 基于光滑表示的半监督分类算法 Smooth Representation-based Semi-supervised Classification 计算机科学, 2021, 48(3): 124-129. https://doi.org/10.11896/jsjkx.200700078 |
[3] | 陈迎仁, 郭莹楠, 郭享, 倪一涛, 陈星. 基于特征相似度计算的网页包装器自适应 Web Page Wrapper Adaptation Based on Feature Similarity Calculation 计算机科学, 2021, 48(11A): 218-224. https://doi.org/10.11896/jsjkx.210100230 |
[4] | 束云峰, 王中卿. 基于专利结构的中文专利摘要研究 Research on Chinese Patent Summarization Based on Patented Structure 计算机科学, 2020, 47(6A): 45-48. https://doi.org/10.11896/JsJkx.190500028 |
[5] | 钟雅,郭渊博,刘春辉,李涛. 内部威胁检测中用户属性画像方法与应用 User Attributes Profiling Method and Application in Insider Threat Detection 计算机科学, 2020, 47(3): 292-297. https://doi.org/10.11896/jsjkx.190200379 |
[6] | 许飞翔,叶霞,李琳琳,曹军博,王馨. 基于SA-BP算法的本体概念语义相似度综合计算 Comprehensive Calculation of Semantic Similarity of Ontology Concept Based on SA-BP Algorithm 计算机科学, 2020, 47(1): 199-204. https://doi.org/10.11896/jsjkx.181202351 |
[7] | 吴祎凡, 崔艳鹏, 胡建伟. 基于层次聚类的警报处理方法 Alert Processing Method Based on Hierarchical Clustering 计算机科学, 2019, 46(4): 203-209. https://doi.org/10.11896/j.issn.1002-137X.2019.04.032 |
[8] | 卢献华, 王洪俊. 基于大数据计算框架的分布式新闻聚类系统设计 Design of Distributed News Clustering System Based on Big Data Computing Framework 计算机科学, 2019, 46(11A): 220-223. |
[9] | 程宏兵, 王珂, 李兵, 钱漫匀. 一种高效的社交网络朋友推荐方案 Efficient Friend Recommendation Scheme for Social Networks 计算机科学, 2018, 45(6A): 433-436. |
[10] | 廖彬,张陶,于炯,国冰磊,刘炎. 基于Spark的MapReduce相似度计算效率优化 Efficiency Optimization Method for MapReduce Similarity Computing Based on Spark 计算机科学, 2017, 44(8): 46-53. https://doi.org/10.11896/j.issn.1002-137X.2017.08.009 |
[11] | 傅城州,汤庸,贺超波,王津凌,袁成哲. 基于标签相似度计算的学术圈构建方法 Construction Method of Academic Circle Based on Label Similarity Computation 计算机科学, 2016, 43(9): 52-56. https://doi.org/10.11896/j.issn.1002-137X.2016.09.009 |
[12] | 余珊珊,苏锦钿,易法令. 基于范畴论的本体描述方法 Descriptions for Ontologies Based on Category Theory 计算机科学, 2016, 43(5): 42-46. https://doi.org/10.11896/j.issn.1002-137X.2016.05.007 |
[13] | 李景玉,张仰森,陈若愚. 面向用户查询意图的句子相似度分层计算 User Query Intention Oriented Hierarchical Sentence Similarity Computation 计算机科学, 2015, 42(1): 227-231. https://doi.org/10.11896/j.issn.1002-137X.2015.01.050 |
[14] | 秦丽,李兵. 一种基于云模型的不确定性数据的建模与分类方法 Novel Method of Uncertain Data Modeling and Classification Based on Cloud Model 计算机科学, 2014, 41(8): 233-240. https://doi.org/10.11896/j.issn.1002-137X.2014.08.050 |
[15] | 贾长云,梁海军. 基于B-ISVM算法的物联网云存储数据伪装不良信息检测 Things Networking Cloud Storage Data Bad Information Detection Based on Boundary-incremental SVM Algorithm 计算机科学, 2013, 40(2): 95-97. |
|