메뉴 건너뛰기




Volumn 41, Issue 1, 2015, Pages 58-70

Ontology alignment based on instance using NSGA-II

Author keywords

Instance based aligning; NSGA II; Ontology alignment; Similarity propagation

Indexed keywords

INFORMATION SCIENCE; INFORMATION SYSTEMS;

EID: 84920830661     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551514550142     Document Type: Article
Times cited : (28)

References (39)
  • 6
    • 0242308068 scopus 로고    scopus 로고
    • IF-Map: An ontology mapping method based on information flow theory
    • Kalfoglou Y and Schorlemmer M. IF-Map: An ontology mapping method based on information flow theory. Journal of Data Semantics 2003; 98-127.
    • (2003) Journal of Data Semantics , pp. 98-127
    • Kalfoglou, Y.1    Schorlemmer, M.2
  • 9
    • 77957595699 scopus 로고    scopus 로고
    • Using a genetic algorithm for optimizing the similarity aggregation step in the process of ontology alignment
    • Ginsca A-L and Iftene A. Using a genetic algorithm for optimizing the similarity aggregation step in the process of ontology alignment. In: The 9th Roedunet international conference (RoEduNet), 2010, pp. 118-122.
    • The 9th Roedunet International Conference (RoEduNet), 2010 , pp. 118-122
    • Ginsca, A.-L.1    Iftene, A.2
  • 11
    • 0000852513 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithms
    • Srinivas N and Deb K. Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation 1994; 2: 221-248.
    • (1994) Evolutionary Computation , vol.2 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 12
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Zitzler E and Thiele L. Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation 1999; 3: 257-271.
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 16
    • 35248851524 scopus 로고    scopus 로고
    • A non-dominated sorting particle swarm optimizer for multiobjective optimization
    • Berlin: Springer
    • Li X. A non-dominated sorting particle swarm optimizer for multiobjective optimization. Lecture Notes in Computer Science, Vol. 2723. Berlin: Springer, 2003, pp. 37-48.
    • (2003) Lecture Notes in Computer Science , vol.2723 , pp. 37-48
    • Li, X.1
  • 17
    • 34047265178 scopus 로고    scopus 로고
    • Immune optimization algorithm for constrained nonlinear multiobjective optimization problems
    • Zhang Z. Immune optimization algorithm for constrained nonlinear multiobjective optimization problems. Applied Soft Computing 2007; 7: 840-857.
    • (2007) Applied Soft Computing , vol.7 , pp. 840-857
    • Zhang, Z.1
  • 18
    • 70349843699 scopus 로고    scopus 로고
    • A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design
    • Goh CK, Tan KC, Liu DS and Chiam SC. A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. European Journal of Operational Research 2010; 202: 42-54.
    • (2010) European Journal of Operational Research , vol.202 , pp. 42-54
    • Goh, C.K.1    Tan, K.C.2    Liu, D.S.3    Chiam, S.C.4
  • 19
    • 70649092085 scopus 로고    scopus 로고
    • A fast multi-objective evolutionary algorithm based on a tree structure
    • Shi C, Yan Z, Shi Z and Zhang L. A fast multi-objective evolutionary algorithm based on a tree structure. Applied Soft Computing 2010; 10: 468-480.
    • (2010) Applied Soft Computing , vol.10 , pp. 468-480
    • Shi, C.1    Yan, Z.2    Shi, Z.3    Zhang, L.4
  • 20
    • 79956078202 scopus 로고    scopus 로고
    • MO-TRIBES: An adaptive multiobjective particle swarm optimization algorithm
    • Cooren Y, Clerc M and Siarry P. MO-TRIBES: An adaptive multiobjective particle swarm optimization algorithm. Computational Optimization and Applications 2011; 49: 379-400.
    • (2011) Computational Optimization and Applications , vol.49 , pp. 379-400
    • Cooren, Y.1    Clerc, M.2    Siarry, P.3
  • 21
    • 84863472986 scopus 로고    scopus 로고
    • A decomposition-based hybrid multiobjective evolutionary algorithm with dynamic resource allocation
    • Mashwani WK and Salhi A. A decomposition-based hybrid multiobjective evolutionary algorithm with dynamic resource allocation. Computational Optimization and Applications 2012; 12: 2765-2780.
    • (2012) Computational Optimization and Applications , vol.12 , pp. 2765-2780
    • Mashwani, W.K.1    Salhi, A.2
  • 23
    • 70349327858 scopus 로고    scopus 로고
    • A multiobjective evolutionary algorithm using min-max strategy and sphere coordinate transformation
    • Liu HL, Wang YP and Cheung YM. A multiobjective evolutionary algorithm using min-max strategy and sphere coordinate transformation. Intelligent Automation and Soft Computing 2009; 15(3): 361-384.
    • (2009) Intelligent Automation and Soft Computing , vol.15 , Issue.3 , pp. 361-384
    • Liu, H.L.1    Wang, Y.P.2    Cheung, Y.M.3
  • 24
    • 84866641897 scopus 로고    scopus 로고
    • Scenario-based multiobjective volt/var control in distribution networks including renewable energy sources
    • Niknam T, Zare M and Aghaei J. Scenario-based multiobjective volt/var control in distribution networks including renewable energy sources. IEEE Transactions on Power Delivery 2012; 27: 2004-2019.
    • (2012) IEEE Transactions on Power Delivery , vol.27 , pp. 2004-2019
    • Niknam, T.1    Zare, M.2    Aghaei, J.3
  • 25
    • 84867232190 scopus 로고    scopus 로고
    • Multi-objective exergy-based optimization of a polygeneration energy system using an evolutionary algorithm
    • Ahmadi P, Rosen MA and Dincer I. Multi-objective exergy-based optimization of a polygeneration energy system using an evolutionary algorithm. Energy 2012; 46: 21-31.
    • (2012) Energy , vol.46 , pp. 21-31
    • Ahmadi, P.1    Rosen, M.A.2    Dincer, I.3
  • 26
    • 78650728229 scopus 로고    scopus 로고
    • An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants
    • Niknam T, Meymand HZ and Mojarrad HD. An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants. Energy 2011; 36: 119-132.
    • (2011) Energy , vol.36 , pp. 119-132
    • Niknam, T.1    Meymand, H.Z.2    Mojarrad, H.D.3
  • 27
    • 79961031061 scopus 로고    scopus 로고
    • Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks
    • Niknam T, Kavousifard A, Tabatabaei S and Aghaei J. Optimal operation management of fuel cell/wind/photovoltaic power sources connected to distribution networks. Journal of Power Sources 2011; 196: 8881-8896.
    • (2011) Journal of Power Sources , vol.196 , pp. 8881-8896
    • Niknam, T.1    Kavousifard, A.2    Tabatabaei, S.3    Aghaei, J.4
  • 28
    • 79960896431 scopus 로고    scopus 로고
    • Thermodynamic and exergoenvironmental analyses, and multi-objective optimization of a gas turbine power plant
    • Ahmadi P and Dincer I. Thermodynamic and exergoenvironmental analyses, and multi-objective optimization of a gas turbine power plant. Applied Thermal Engineering 2011; 31: 2529-2540.
    • (2011) Applied Thermal Engineering , vol.31 , pp. 2529-2540
    • Ahmadi, P.1    Dincer, I.2
  • 29
    • 84893354595 scopus 로고    scopus 로고
    • On solving WCDMA network planning using iterative power control scheme and evolutionary multiobjective algorithm
    • Liu HL, Gu FQ, Cheung YM, Xie SL and Zhang J. On solving WCDMA network planning using iterative power control scheme and evolutionary multiobjective algorithm. IEEE Computational Intelligence Magazine 2014; 44-52.
    • (2014) IEEE Computational Intelligence Magazine , pp. 44-52
    • Liu, H.L.1    Gu, F.Q.2    Cheung, Y.M.3    Xie, S.L.4    Zhang, J.5
  • 30
    • 84857845989 scopus 로고    scopus 로고
    • Discrete particle swarm optimisation for ontology alignment
    • Bock J and Hettenhausen J. Discrete particle swarm optimisation for ontology alignment. Information Sciences 2012; 192: 152-173.
    • (2012) Information Sciences , vol.192 , pp. 152-173
    • Bock, J.1    Hettenhausen, J.2
  • 31
    • 84857543881 scopus 로고    scopus 로고
    • A hybrid evolutionary approach for solving the ontology alignment problem
    • Acampora G, Loia V and Salerno S. A hybrid evolutionary approach for solving the ontology alignment problem. International Journal of Intelligent Systems 2012; 27(3): 189-216.
    • (2012) International Journal of Intelligent Systems , vol.27 , Issue.3 , pp. 189-216
    • Acampora, G.1    Loia, V.2    Salerno, S.3
  • 34
    • 84900823601 scopus 로고    scopus 로고
    • Cooperative and penalized competitive learning with application to kernel-based clustering
    • Jia H, Cheung YM and Liu JM. Cooperative and penalized competitive learning with application to kernel-based clustering. Pattern Recognition 2014; 47: 3060-3069.
    • (2014) Pattern Recognition , vol.47 , pp. 3060-3069
    • Jia, H.1    Cheung, Y.M.2    Liu, J.M.3
  • 35
    • 84976702763 scopus 로고
    • WordNet: A lexical database for English
    • Miller GA. WordNet: A lexical database for English. Communications of the ACM 1995; 38(11): 39-41.
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.A.1
  • 37
    • 84920862703 scopus 로고    scopus 로고
    • accessed March 2014
    • Ontology Alignment Evaluation Initiative (OAEI), http://oaei.ontologymatching.org/2012 (accessed March 2014).
  • 39
    • 0028950887 scopus 로고
    • Probabilistic linkage of large public health data files
    • Jaro MA. Probabilistic linkage of large public health data files. Statistics in Medicine 1995, 14: 491-498.
    • (1995) Statistics in Medicine , vol.14 , pp. 491-498
    • Jaro, M.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.