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论文:2013,Vol:31,Issue(1):14-18 |
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引用本文: |
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戴大蒙, 慕德俊, 吴佳斌. 基于概念分层的本体组合匹配策略研究[J]. 西北工业大学 |
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Dai Dameng, Mu Dejun, Wu Jiabin. Composition Strategy of Ontology Matching Based on Hierarchic Concept[J]. Northwestern polytechnical university |
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基于概念分层的本体组合匹配策略研究 |
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戴大蒙, 慕德俊, 吴佳斌 |
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西北工业大学 自动化学院, 陕西 西安 710072 |
摘要: |
在开放式环境下本体一般由不同组织不同领域专家独立开发,为了让本体能够协同工作或者被重复应用,需要通过本体匹配来解决。文章提出的基于概念分层的组合策略的本体匹配策略利用本体概念的层次性特点,降低匹配过程的计算复杂度,通过组合匹配策略解决单一匹配策略的局限性,并提出了基于语义关系对匹配结果进行一致性判定。 |
关键词:
本体匹配
组合策略
概念分层
相似性度量
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Composition Strategy of Ontology Matching Based on Hierarchic Concept |
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Dai Dameng, Mu Dejun, Wu Jiabin |
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Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China |
Abstract: |
In an open environment, ontologies are built by the experts from different fields and different independ-ent development organizations.In order to allow the ontologies to work together or be repeated in different applica-tions, we deem that ontology matching can meet the requirements.Sections 1 through 5 of the full paper explain ourcomposition strategy mentioned in the title; their core consists of: the algorithms are based on hierarchic concepts;ontology matching strategies using the concept of the level of ontology can reduce the computational complexity ofthe matching process; the algorithm uses a combination of matching strategies to solve the limitations of a singlematching strategy, and proposes a relationship based on semantic matching to detect the consistency of the matchedresults. |
Key words:
algorithms
calculations
computational complexity
flowcharting
hierarchical systems
mathematicalmodels
ontology
schematic diagrams
semantics;composition strategy
hierarchic concept
ontology matching
similarity measurement
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收稿日期: 2012-03-12
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DOI: |
基金项目: 浙江省公益性技术应用研究计划(2012C23040);2010年浙江省高校优秀青年教师资助项目资助 |
通讯作者:
Email: |
作者简介: 戴大蒙(1975-),女,西北工业大学博士研究生,主要从事智能信息处理、数据挖掘和粒计算等的研究。
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参考文献: |
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[1] Mao M,Peng Y,Spring M.An Adaptive Ontology Mapping Approach with Neural Network Based Constraint Satisfaction.Jour-nal of Web Semantics,2010 [2] 杨 宁,郭 雷,方俊等.语义 Web 作为背景知识的本体匹配.西安工业大学学报,2011,31(2): 174-178Yang Ning,Guo Lei,Fang Jun,et al.Ontology Matching Based on Semantic Web as Knowledge Background.Journal of Xi'anTechnological University,2011,31(2): 174-178 (in Chinese) [3] Euzenat J,Meilicke C,Stuckenschmidt H,Shvaiko P,Trojahn C.Ontology Alignment Evaluation Initiative: Six Years of Expe-rience.Journal on Data Semantics,XV,LNCS 6720,2011,158-192 [4] Peukert E,Eberius J,Rahm E.AMC A Framework for Modelling and Comparing Matching Systems as Matching Processes.Proceedings of ICDE,2011 [5] Ferrara A,Montanelli S,Noessner J,Stuckenschmidt H.Benchmarking Matching Applications on the Semantic Web.Proceed-ings of ESWC,2011 [6] Elmeleegy H,Elmagarmid A,Lee J.Leveraging Query Logs for Schema Mapping Generation in UMAP.Proceedings of SIG-MOD,2011 [7] Hedeler C,Belhajjame K,Paton N W,Fernandes A A A,Embury S M,Mao L,Guo C.Pay-As-You-Go Mapping Selection inDataspaces.Proceedings of SIGMOD,2011 [8] Farooq A,Arshad M J,Shah A.A Layered Approach for Similarity Measurement between Ontologies.Journal of American Sci-ence,2010,6(12): 69-77 [9] Marc Ehrig,Steffen Staab,York Sure.Framework for Ontology Alignment and Mapping.Proceedings of the Workshop on In-tegrating Ontologies,2005 |
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