·479· 朱林立，等：本体学习算法的两类L00一致稳定性和广义界 第3期 documenting the systematic review results of software [18]ZHU Linli,YU Pan,FARAHANI M R,et al.Theoretic- testing ontologies[J].Information and software techno- al characteristics on scoring function in multi-dividing 1ogy,2020,123:106298. setting[J].IAENG international journal of applied math- [5]PRADEEP D.SUNDAR C.QAOC:novel query analysis ematics,2017,47(1:28-36. and ontology-based clustering for data management in [19]ZHU Linli,TAO Weige,MIN Xiaozhong,et al.Theoret- Hadoop[J].Future generation computer systems,2020, ical characteristics of ontology learning algorithm in 108:849-860. multi-dividing setting[J].IAENG international journal of [6]HEMA A M.KUPPUSAMY K.A novel trust-based pri- computer science,2016,43(2):184-191. vacy preservation framework for service handling via on- [20]GAO Wei.XU Tianwei.Stability analysis of learning al- tology service ranking[J].Wireless personal communica- gorithms for ontology similarity computation[J].Ab- tions,.2020,112(3):1339-1354. stract and applied analysis,2013,2013:174802 [7]MESSAOUDI R,MTIBAA A,VACAVANT A,et al. [21]GAO W,ZHANG Y G,XU T W,et al.Analysis for Ontologies for liver diseases representation:a systematic learning a similarity function with ontology applica- literature review[J].Journal of digital imaging,2020, tions[J].Journal of information and computational sci- 33(3):563-573. ence,2012,17(9):5311-5318. [8]MANTOVANI A,PIANA F,LOMBARDO V.Ontology- [22]BASSILY R.NISSIM K.SMITH A.et al.Algorithmic driven representation of knowledge for geological maps stability for adaptive data analysis[Cl//Proceedings of [J]Computers and geosciences,2020,139:104446. the Forty-Eighth Annual ACM Symposium on Theory of [9]ABEYSINGHE R.HINDERER III E W.MOSELEY H N Computing.Cambridge:ACM,2016:1046-1059. B,et al.SSIF:subsumption-based sub-term inference [23]STEINKE T,ULLMAN J.Subgaussian tail bounds via framework to audit gene ontology[J].Bioinformatics, stability arguments[EB/OL](2017-04-21)[2021-01-09] 2020,36(10):3207-3214 https://arxiv.org/abs/1701.03493v2. [10]KOSSMANN M.SAMHAN A,ODEH M,et al.Extend- [24]MCDIARMID C.On the method of bounded differ- ing the scope of configuration management for the de- ences[M]//SIEMONS J.Surveys in Combinatorics, velopment and life cycle support of systems of systems- 1989:Invited Papers at the Twelfth British Combinatori- an ontology-driven framework applied to the enceladus al Conference.Cambridge:Cambridge University Press, submarine exploration lander[J].Systems engineering, 1989:148-188 2020,23(3):366-391. [11]ZHU Linli,HUA Gang,ASLAM A.Ontology learning [25]WALLSTROM T C.On the application of McDiarmid's algorithm using weak functions[J].Open physics,2018, inequality to complex systems[J].SIAM-ASA journal on 16(1):910-916. uncertainty quantification,2017,5(1):240-245. [12]GAO Wei,ZHANG Yunqing,GUIRAO J L G,et al.A 作者简介： discrete dynamics approach to sparse calculation and ap- 朱林立，高级工程师，博士，主要 plied in ontology science[J].Journal of difference equa- 研究方向为人工智能、机器学习。 tions and applications,2019,25(9/10):1239-1254. [13]ZHU Linli,HUA Gang,ZAFAR S,et al.Fundamental ideas and mathematical basis of ontology learning al- gorithm[J].Journal of intelligent and fuzzy systems, 2018.35(4):4503-4516. [14]GAO Wei.GUIRAO J L G.BASAVANAGOUD B,et al.Partial multi-dividing ontology learning algorithm[J] 华钢，教授，博士，主要研究方向 Information sciences,2018,467:35-58. 为物联网、矿山监控与监管、智能信息 [15]朱林立，华钢.高炜.决定图框架下本体学习算法的稳 处理。 定性分析.计算机科学，2020,47(5)：43-50 ZHU Linli,HUA Gang,GAO Wei.Stability analysis of ontology learning algorithm in decision graph setting[J]. Computer science,2020,47(5):43-50. [16]ZHU Linli,YU Pan,FARAHANI M R,et al.Mag- 高炜，教授，博士，主要研究方向 nitude preserving based ontology regularization al- 为图论、人工智能和统计学习理论。 gorithm[J].Journal of intelligent and fuzzy systems, 2017,33(5):3113-3122 [17]ZHU Linli,YU Pan,JAMIL M K,et al.Boosting based ontology sparse vector computation approach[J].Engin- eering letters,2017,25(4):406-415.documenting the systematic review results of software testing ontologies[J]. Information and software techno￾logy, 2020, 123: 106298. PRADEEP D, SUNDAR C. QAOC: novel query analysis and ontology-based clustering for data management in Hadoop[J]. Future generation computer systems, 2020, 108: 849–860. [5] HEMA A M, KUPPUSAMY K. A novel trust-based pri￾vacy preservation framework for service handling via on￾tology service ranking[J]. Wireless personal communica￾tions, 2020, 112(3): 1339–1354. [6] MESSAOUDI R, MTIBAA A, VACAVANT A, et al. Ontologies for liver diseases representation: a systematic literature review[J]. Journal of digital imaging, 2020, 33(3): 563–573. [7] MANTOVANI A, PIANA F, LOMBARDO V. Ontology￾driven representation of knowledge for geological maps [J] Computers and geosciences, 2020, 139: 104446. [8] ABEYSINGHE R, HINDERER III E W, MOSELEY H N B, et al. SSIF: subsumption-based sub-term inference framework to audit gene ontology[J]. Bioinformatics, 2020, 36(10): 3207–3214. [9] KOSSMANN M, SAMHAN A, ODEH M, et al. Extend￾ing the scope of configuration management for the de￾velopment and life cycle support of systems of systems￾an ontology-driven framework applied to the enceladus submarine exploration lander[J]. Systems engineering, 2020, 23(3): 366–391. [10] ZHU Linli, HUA Gang, ASLAM A. Ontology learning algorithm using weak functions[J]. Open physics, 2018, 16(1): 910–916. [11] GAO Wei, ZHANG Yunqing, GUIRAO J L G, et al. A discrete dynamics approach to sparse calculation and ap￾plied in ontology science[J]. Journal of difference equa￾tions and applications, 2019, 25(9/10): 1239–1254. [12] ZHU Linli, HUA Gang, ZAFAR S, et al. Fundamental ideas and mathematical basis of ontology learning al￾gorithm[J]. Journal of intelligent and fuzzy systems, 2018, 35(4): 4503–4516. [13] GAO Wei, GUIRAO J L G, BASAVANAGOUD B, et al. Partial multi-dividing ontology learning algorithm[J]. Information sciences, 2018, 467: 35–58. [14] 朱林立, 华钢, 高炜. 决定图框架下本体学习算法的稳 定性分析 [J]. 计算机科学, 2020, 47(5): 43–50. ZHU Linli, HUA Gang, GAO Wei. Stability analysis of ontology learning algorithm in decision graph setting[J]. Computer science, 2020, 47(5): 43–50. [15] ZHU Linli, YU Pan, FARAHANI M R, et al. Mag￾nitude preserving based ontology regularization al￾gorithm[J]. Journal of intelligent and fuzzy systems, 2017, 33(5): 3113–3122. [16] ZHU Linli, YU Pan, JAMIL M K, et al. Boosting based ontology sparse vector computation approach[J]. Engin￾eering letters, 2017, 25(4): 406–415. [17] ZHU Linli, YU Pan, FARAHANI M R, et al. Theoretic￾al characteristics on scoring function in multi-dividing setting[J]. IAENG international journal of applied math￾ematics, 2017, 47(1): 28–36. [18] ZHU Linli, TAO Weige, MIN Xiaozhong, et al. Theoret￾ical characteristics of ontology learning algorithm in multi-dividing setting[J]. IAENG international journal of computer science, 2016, 43(2): 184–191. [19] GAO Wei, XU Tianwei. Stability analysis of learning al￾gorithms for ontology similarity computation[J]. Ab￾stract and applied analysis, 2013, 2013: 174802. [20] GAO W, ZHANG Y G, XU T W, et al. Analysis for learning a similarity function with ontology applica￾tions[J]. Journal of information and computational sci￾ence, 2012, 17(9): 5311–5318. [21] BASSILY R, NISSIM K, SMITH A, et al. Algorithmic stability for adaptive data analysis[C]//Proceedings of the Forty-Eighth Annual ACM Symposium on Theory of Computing. Cambridge: ACM, 2016: 1046−1059. [22] STEINKE T, ULLMAN J. Subgaussian tail bounds via stability arguments[EB/OL](2017−04−21)[2021−01−09] https://arxiv.org/abs/1701.03493v2. [23] MCDIARMID C. On the method of bounded differ￾ences[M]//SIEMONS J. Surveys in Combinatorics, 1989: Invited Papers at the Twelfth British Combinatori￾al Conference. Cambridge: Cambridge University Press, 1989: 148−188. [24] WALLSTROM T C. On the application of McDiarmid’s inequality to complex systems[J]. SIAM-ASA journal on uncertainty quantification, 2017, 5(1): 240–245. [25] 作者简介： 朱林立，高级工程师，博士，主要 研究方向为人工智能、机器学习。 华钢，教授，博士，主要研究方向 为物联网、矿山监控与监管、智能信息 处理。 高炜，教授，博士，主要研究方向 为图论、人工智能和统计学习理论。 ·479· 朱林立，等：本体学习算法的两类 LOO 一致稳定性和广义界 第 3 期