基于语义关系的高速铁路领域本体集成与推理
|
摘要
本体作为一种能在语义和知识层次上描述信息系统的类模型建模工具,本质目的是领域知识的共享和重用。本体集成是为了解决不同本体之间的共享和交流,常应用于本体异构的情况,即不同的本体构建者对同一领域构建本体时,对概念进行了不同的语义划分。高速铁路领域由运营调度、通信信号、牵引供电、基础设施、动车组、客运服务等不同的专业领域构成,通用的本体集成方法不适用。
为了将分别构建的各个专业子领域本体集成,本文以高速铁路为研究和应用对象,分析了以高速铁路为代表的技术系统组成,根据系统科学的观点,提取出其中以物质资源为导向,能量资源为动力,人类社会生活为交互的集成关系分类——物质、能量、信息三大关系,并以此为依据确定了高速铁路领域中各个子领域本体之间的关系。
其次,按照本体的组织方式,基于本体信息集成中的单本体方法和多本体方法,本文提出基于本体视图的集成方法并构建高速铁路领域本体集成视图,将动车组本体和牵引供电本体进行集成。
最后,设计了融合文件存储及关系数据库存储的混合本体存储模式,并把所集成的本体应用到文献资料库与专题数据库集成的高速铁路知识服务平台中,实现了五种方式的语义扩展查询及推理,从而实现了高速铁路知识的智能检索,为用户提供了更全面、有效的服务。
本文提出的高速铁路本体集成相关理论和方法可借用于其他类似的多专业构成的技术系统领域,对面向信息资源集成的本体构建与信息服务组合研究具有借鉴参考价值。
As a modeling tool able to describes the domain concept in the semantic and knowledge level, the essential objective of ontology is knowledge sharing and reusing. Ontology integration is to make sharing and exchanging between different bodies, often applied to the ontology heterogeneity, which is different ontology constructs carry on different semantic division to the identical domain ontology concepts in their constructions. The high-speed railway area is composed of several different fields, such as operation management, signal and communication, traction power supply, infrastructure, emu, passenger service and so on, and the normal integration approach is not applicable.
In order to integrate multiple major domains, this article takes the high-speed railway area as study and apply object, analyzes composition of technical systems and withdraws three integrated relation classification-material, energy and information, on that basis, establishes relationships between the various sub-areas.
Secondly, in accordance with the organization of ontology, this article proposes a view-based integration method based on single and multiple approach of ontology information integration, and then builds an integrated view of high-speed railway, which combines the emu ontology and traction power supply ontology.
Ultimately, the article designs a multi-storage schema combined the method of owl storage on the basis of document and relational databases, applies the ontology in the knowledge service platform that integrated document library and specific database, and then realizes intelligent search of high-speed railway knowledge, providing users with a more comprehensive and efficient service by semantic expand retrieval in five ways.
The ontology integration method on high-speed railway area can be used in other similar technical areas which consist of several major fields; it has reference significance to the research towards the integration of information resources and information services composition.
为了将分别构建的各个专业子领域本体集成,本文以高速铁路为研究和应用对象,分析了以高速铁路为代表的技术系统组成,根据系统科学的观点,提取出其中以物质资源为导向,能量资源为动力,人类社会生活为交互的集成关系分类——物质、能量、信息三大关系,并以此为依据确定了高速铁路领域中各个子领域本体之间的关系。
其次,按照本体的组织方式,基于本体信息集成中的单本体方法和多本体方法,本文提出基于本体视图的集成方法并构建高速铁路领域本体集成视图,将动车组本体和牵引供电本体进行集成。
最后,设计了融合文件存储及关系数据库存储的混合本体存储模式,并把所集成的本体应用到文献资料库与专题数据库集成的高速铁路知识服务平台中,实现了五种方式的语义扩展查询及推理,从而实现了高速铁路知识的智能检索,为用户提供了更全面、有效的服务。
本文提出的高速铁路本体集成相关理论和方法可借用于其他类似的多专业构成的技术系统领域,对面向信息资源集成的本体构建与信息服务组合研究具有借鉴参考价值。
As a modeling tool able to describes the domain concept in the semantic and knowledge level, the essential objective of ontology is knowledge sharing and reusing. Ontology integration is to make sharing and exchanging between different bodies, often applied to the ontology heterogeneity, which is different ontology constructs carry on different semantic division to the identical domain ontology concepts in their constructions. The high-speed railway area is composed of several different fields, such as operation management, signal and communication, traction power supply, infrastructure, emu, passenger service and so on, and the normal integration approach is not applicable.
In order to integrate multiple major domains, this article takes the high-speed railway area as study and apply object, analyzes composition of technical systems and withdraws three integrated relation classification-material, energy and information, on that basis, establishes relationships between the various sub-areas.
Secondly, in accordance with the organization of ontology, this article proposes a view-based integration method based on single and multiple approach of ontology information integration, and then builds an integrated view of high-speed railway, which combines the emu ontology and traction power supply ontology.
Ultimately, the article designs a multi-storage schema combined the method of owl storage on the basis of document and relational databases, applies the ontology in the knowledge service platform that integrated document library and specific database, and then realizes intelligent search of high-speed railway knowledge, providing users with a more comprehensive and efficient service by semantic expand retrieval in five ways.
The ontology integration method on high-speed railway area can be used in other similar technical areas which consist of several major fields; it has reference significance to the research towards the integration of information resources and information services composition.
引文
[1]刘紫玉,黄磊.高速铁路领域本体构建方法研究.情报学报,2009(2)：195-200
[2]赵波,冯洁.本体中集成关系的形式化表示及其应用.计算机工程与应用.2008(1)：154-156
[3]杜小勇.学科领域知识本体建设方法研究.Library and Information Service.2005,8:74-78
[4]Gregoire Pepiot, Naoufel Cheikhrouhou, Jean-Marie Furbringer, Remy Glardon. UECML: Unified Enterprise Competence Modelling Language[J]. Science direct, computers in industry 2007,58:130-142
[5]Stijn Verstichela, Sofie Van Hoecke, Matthias Strobbe, Steven Van den Berghe, Filip De Turck, Bart Dhoedt, Piet Demeester, Frederik Vermeulen. Ontology-driven middleware for next-generation train backbones[J]. ScienceDirect, science of computer programming 2007,66: 4-24
[6]徐薇,黄厚宽,秦勇.时空本体研究及在地理信息系统中的应用[J].铁道学报,2005,27(4)：119-124
[7]Guarino. Some organizing principles for a unified top-level ontology[C]-In Spring Symposium Series on Ontological Engineering. Stanford, AAAI Press.1997:57-63
[8]贾黎莉.Ontology构建中概念间关系的研究[D].中国农业科学院,硕士学位论文：6-9
[9]傅继彬,刘杰.基于知网和术语相关度的本体关系抽取研究[J].现代图书情报技术,2008(9)
[10]Sowa J F. Building, Sharing and Merging Ontologies[EB/OL]. Unpublished paper.2001. http://www.jfsowa.com/ontology/tontoshar.htm. (Accessed on Nov 5,2006)
[11]Wiederhold. Mediators in the architecture of future information systems.-\it IEEE Computers, 1992,25(3):38-49
[12]Farquharn, A., Fikes, R.and Rice, J. The ontolingua server:a tool for collaborative ontology construction, International Journal of Human-Computer Studies,199746(6):707-728
[13]Decker S, Euzenat J. The Emerging Semantic Web-Selected Papers from the First Semantic Web Working Symposium. Nether lands:OS Press,2002:201-21
[14]孙晋文,肖建国.基于SVM的中文文本分类反馈学习技术的研究[J].控制与决策,2004,19(8)：927-930
[15]马坚,楼宇波,张亮.基于本体的XML Schema生成方法.计算机工程与应用,2006,39(11)：65-68
[16]于娟,党延忠.本体集成研究综述.计算机科学,2008,35(7)：9-13,18
[17]R.Maches, et al. Enabling technology for knowledge sharing. AI Magazine,12(3)
[18]Mayyam, OWL2Jess, www.is.pku.edu.cn/-mayyam/papers/OWL2Jess,2003 [19]R.Volz, D.Oberle, S.Staab, et. KAON SERVER-A Semantic Web Management System. In Proceedings of the Twelfth International World Wide Web Conference WWW12,2003,20-24
[20]Dmitry Tsarkov, Alexandre Riazanov, Sean Bechhofer. Using Vampire to Reason with OWL, International Semantic Web Conference 2004:471-485
[21]龚资.基于OWL描述的本体推理研究[学位论文].2007：26-28
[22]孙倩,万建成.基于叙词表的领域本体构建方法研究[J].计算机工程与设 计,2007,28(20)：054-5056
[23]李景,苏晓鹭.构建领域本体的方法[J].计算机与农业.2003(7)：7-10
[24]李景.本体理论及在农业文献检索系统中的应用研究_以花卉学本体建模为例[学位论文].中国科学院文献情报中心,2004：45-53
[25]http://www.w3c.org/RDF/
[26]王洪伟,吴家春,蒋馥.基于描述逻辑的本体模型研究.系统程.2003(3)：101-106
[27]蹇峰.城市道路交通信息提取关键技术研究[学位论文].吉林,吉林大学,2006.94-119
[28]庞雄文,鲍苏苏.基于领域学习的本体映射方法[J].计算机科学,2009(7)：1981-1984
[29]盛艳,李云,李拓.一种基于概念格的本体合并方法[J].微电子学与计算机.2008,25(9)：34-36
[30]E.M.Voorhees. Query expression using lexical-semantic relations. In Proceedings of ACMSIGIR.Dublin, Ireland. ACM/Springer 1994
[31]张文斌,陈恩红,王进.一种基于多叉树的HTML到XML的转换方法[J].小型微型计算机系统,2003,Vol.24,No.9,713-715
[32]甘健侯.基于本体的语义Web知识发现及其应用的研究[学位论文].云南师范大学,2004：25-37
[33]Guarino N. Some organizing principles for a unified top-level ontology[C]. In Spring Symposium Series on Ontological Engineering, Stanford, AAAI Press,1997:57-63
[34]Barbier F, Henderson-Sellers B, Parc-Lacayrelle A L, Bruel J M. Formalization of the whole-part relationship in the unified modeling language [J]. IEEE Transaction Software Engineering,2003,29(5):459-470
[35]Henderson-Sellers B, Barbier F. Black and White Diamonds [C]. In Proc. Second Int'l Conf. Unified Modeling Language (UML'98),1999:550-565
[36]京津高速铁路技术引进组,铁路客运专线工程联合设计系统集成项目工作会议报告
[37]颜泽贤,范冬萍,张华夏.系统科学导论——复杂性探索.2006年9月第一版
[38]Tom Gruber. Atranslation approach to portable ontology specifications. In:Knowledge Acquistion.5:199-199
[39]张忠平,赵海亮,张志惠.基于OWL的本体集成.计算机应用：2008,28(B06)：10-14
[40]范莉娅,肖田元.基于多层本体方法的信息集成研究[J].2008,34(2)：187-189,192
[41]高俊杰,邓贵仕.一种OWL本体进化方法[J].计算机应用研究：2009(9)：2564-2567
[42]鲍文,李冠宇.本体存储技术研究[J].计算机技术与发展.2008(1)：146-150
[43]李洁.OWL本体存储模式研究[J].中国科技信息：2007(21)：118-120
[44]张维明,宋俊峰.面向语义Web的领域本体表示、推理、集成及其应用研究[J].计算机研究与发展：2006-43(1)
[45]H.J.ter Horst, Extending the RDFS Entailment Lemma, Proceedings 3rd Int. Semantic Web Conference(ISWC2004), Springer LNCS 3298,2004
[46]H.J.ter Horst. Completeness, Decidability and Complexity of Entailment for RDFSchema and a Semantic Extension Involving the OWL Vocabulary. Journal of Web Semantics,2005:79-115.
[47]Steffen Staab,et al. Where are the rules Trends and Controversoes. IEEE Intelligent System.2003
[48]梅翔,语义检索中若干关键问题的研究[学位论文].北京邮电大学,2007
[49]郭文英.基于SWRL推理的语义关联发现及其在本体映射与集成中的应用[学位论文].浙江大学,2006：47-57
[50]Maedche A, Staab S. Discovering Conceptual Relations from Textl [C]//Proceedings of the 14th European Conference on Artificial Intelligence (ECAI 2000). Amsterdam:IOS Press,2000: 321-325
[51]高琦,陈华钧.互联网Ontology语言和推理的比较和分析[J].计算机应用与软件.2004,21(10)：75-76
[52]Dmitry Tsarkov, Alexandre Riazanov, Sean Bechhofer, Using Vampire to Reason with OWL, International Semantic Web Conference 2004:471-485
[53]杨旭.交通信息服务模式的研究[学位论文].北京,北京交通大学.2007.12-76
[54]Chang, SH, Kim, SD, A systematic approach to service-oriented analysis and design, Product-Focused Software Process Improvement, Proceedings 4589:374-388,2007
[55]Tsai, WT, Huang, Q, Ontology-based dynamic process collaboration in service-oriented architecture, IEEE International Conference on Service-Oriented Computing and Applications, Proceedings:39-46,2007
[56]毛军.基于RDF的叙词表研究[J].情报学报,2003,22(2)：163-168
[57]Stijn Verstichela, Sofie Van Hoecke, Matthias Strobbe, Steven Van den Berghe, Filip De Turck, Bart Dhoedt, Piet Demeester, Frederik Vermeulen. Ontology-driven middleware for next-generation train backbones[J]. ScienceDirect, science of computer programming 2007,66: 4-24
[58]卢胜军,真溱.本体集成相关的基本概念研究[J].情报理论与实践,2008,31(3)：443-446
[59]王万森.人工智能原理及其应用[M].北京,电子工业出版社,2002,11(3)：44-45
[60]Jena2 Inference support[OL]. [2005-06-10]. http://Jena.sourceforge.net/inference/#rules
[61]徐国虎,许芳,董慧.基于语义关系的本体推理规则研究——以国共合作领域本体库为例[J].中国图书馆学报,2007,33(171)：88-92
[2]赵波,冯洁.本体中集成关系的形式化表示及其应用.计算机工程与应用.2008(1)：154-156
[3]杜小勇.学科领域知识本体建设方法研究.Library and Information Service.2005,8:74-78
[4]Gregoire Pepiot, Naoufel Cheikhrouhou, Jean-Marie Furbringer, Remy Glardon. UECML: Unified Enterprise Competence Modelling Language[J]. Science direct, computers in industry 2007,58:130-142
[5]Stijn Verstichela, Sofie Van Hoecke, Matthias Strobbe, Steven Van den Berghe, Filip De Turck, Bart Dhoedt, Piet Demeester, Frederik Vermeulen. Ontology-driven middleware for next-generation train backbones[J]. ScienceDirect, science of computer programming 2007,66: 4-24
[6]徐薇,黄厚宽,秦勇.时空本体研究及在地理信息系统中的应用[J].铁道学报,2005,27(4)：119-124
[7]Guarino. Some organizing principles for a unified top-level ontology[C]-In Spring Symposium Series on Ontological Engineering. Stanford, AAAI Press.1997:57-63
[8]贾黎莉.Ontology构建中概念间关系的研究[D].中国农业科学院,硕士学位论文：6-9
[9]傅继彬,刘杰.基于知网和术语相关度的本体关系抽取研究[J].现代图书情报技术,2008(9)
[10]Sowa J F. Building, Sharing and Merging Ontologies[EB/OL]. Unpublished paper.2001. http://www.jfsowa.com/ontology/tontoshar.htm. (Accessed on Nov 5,2006)
[11]Wiederhold. Mediators in the architecture of future information systems.-\it IEEE Computers, 1992,25(3):38-49
[12]Farquharn, A., Fikes, R.and Rice, J. The ontolingua server:a tool for collaborative ontology construction, International Journal of Human-Computer Studies,199746(6):707-728
[13]Decker S, Euzenat J. The Emerging Semantic Web-Selected Papers from the First Semantic Web Working Symposium. Nether lands:OS Press,2002:201-21
[14]孙晋文,肖建国.基于SVM的中文文本分类反馈学习技术的研究[J].控制与决策,2004,19(8)：927-930
[15]马坚,楼宇波,张亮.基于本体的XML Schema生成方法.计算机工程与应用,2006,39(11)：65-68
[16]于娟,党延忠.本体集成研究综述.计算机科学,2008,35(7)：9-13,18
[17]R.Maches, et al. Enabling technology for knowledge sharing. AI Magazine,12(3)
[18]Mayyam, OWL2Jess, www.is.pku.edu.cn/-mayyam/papers/OWL2Jess,2003 [19]R.Volz, D.Oberle, S.Staab, et. KAON SERVER-A Semantic Web Management System. In Proceedings of the Twelfth International World Wide Web Conference WWW12,2003,20-24
[20]Dmitry Tsarkov, Alexandre Riazanov, Sean Bechhofer. Using Vampire to Reason with OWL, International Semantic Web Conference 2004:471-485
[21]龚资.基于OWL描述的本体推理研究[学位论文].2007：26-28
[22]孙倩,万建成.基于叙词表的领域本体构建方法研究[J].计算机工程与设 计,2007,28(20)：054-5056
[23]李景,苏晓鹭.构建领域本体的方法[J].计算机与农业.2003(7)：7-10
[24]李景.本体理论及在农业文献检索系统中的应用研究_以花卉学本体建模为例[学位论文].中国科学院文献情报中心,2004：45-53
[25]http://www.w3c.org/RDF/
[26]王洪伟,吴家春,蒋馥.基于描述逻辑的本体模型研究.系统程.2003(3)：101-106
[27]蹇峰.城市道路交通信息提取关键技术研究[学位论文].吉林,吉林大学,2006.94-119
[28]庞雄文,鲍苏苏.基于领域学习的本体映射方法[J].计算机科学,2009(7)：1981-1984
[29]盛艳,李云,李拓.一种基于概念格的本体合并方法[J].微电子学与计算机.2008,25(9)：34-36
[30]E.M.Voorhees. Query expression using lexical-semantic relations. In Proceedings of ACMSIGIR.Dublin, Ireland. ACM/Springer 1994
[31]张文斌,陈恩红,王进.一种基于多叉树的HTML到XML的转换方法[J].小型微型计算机系统,2003,Vol.24,No.9,713-715
[32]甘健侯.基于本体的语义Web知识发现及其应用的研究[学位论文].云南师范大学,2004：25-37
[33]Guarino N. Some organizing principles for a unified top-level ontology[C]. In Spring Symposium Series on Ontological Engineering, Stanford, AAAI Press,1997:57-63
[34]Barbier F, Henderson-Sellers B, Parc-Lacayrelle A L, Bruel J M. Formalization of the whole-part relationship in the unified modeling language [J]. IEEE Transaction Software Engineering,2003,29(5):459-470
[35]Henderson-Sellers B, Barbier F. Black and White Diamonds [C]. In Proc. Second Int'l Conf. Unified Modeling Language (UML'98),1999:550-565
[36]京津高速铁路技术引进组,铁路客运专线工程联合设计系统集成项目工作会议报告
[37]颜泽贤,范冬萍,张华夏.系统科学导论——复杂性探索.2006年9月第一版
[38]Tom Gruber. Atranslation approach to portable ontology specifications. In:Knowledge Acquistion.5:199-199
[39]张忠平,赵海亮,张志惠.基于OWL的本体集成.计算机应用：2008,28(B06)：10-14
[40]范莉娅,肖田元.基于多层本体方法的信息集成研究[J].2008,34(2)：187-189,192
[41]高俊杰,邓贵仕.一种OWL本体进化方法[J].计算机应用研究：2009(9)：2564-2567
[42]鲍文,李冠宇.本体存储技术研究[J].计算机技术与发展.2008(1)：146-150
[43]李洁.OWL本体存储模式研究[J].中国科技信息：2007(21)：118-120
[44]张维明,宋俊峰.面向语义Web的领域本体表示、推理、集成及其应用研究[J].计算机研究与发展：2006-43(1)
[45]H.J.ter Horst, Extending the RDFS Entailment Lemma, Proceedings 3rd Int. Semantic Web Conference(ISWC2004), Springer LNCS 3298,2004
[46]H.J.ter Horst. Completeness, Decidability and Complexity of Entailment for RDFSchema and a Semantic Extension Involving the OWL Vocabulary. Journal of Web Semantics,2005:79-115.
[47]Steffen Staab,et al. Where are the rules Trends and Controversoes. IEEE Intelligent System.2003
[48]梅翔,语义检索中若干关键问题的研究[学位论文].北京邮电大学,2007
[49]郭文英.基于SWRL推理的语义关联发现及其在本体映射与集成中的应用[学位论文].浙江大学,2006：47-57
[50]Maedche A, Staab S. Discovering Conceptual Relations from Textl [C]//Proceedings of the 14th European Conference on Artificial Intelligence (ECAI 2000). Amsterdam:IOS Press,2000: 321-325
[51]高琦,陈华钧.互联网Ontology语言和推理的比较和分析[J].计算机应用与软件.2004,21(10)：75-76
[52]Dmitry Tsarkov, Alexandre Riazanov, Sean Bechhofer, Using Vampire to Reason with OWL, International Semantic Web Conference 2004:471-485
[53]杨旭.交通信息服务模式的研究[学位论文].北京,北京交通大学.2007.12-76
[54]Chang, SH, Kim, SD, A systematic approach to service-oriented analysis and design, Product-Focused Software Process Improvement, Proceedings 4589:374-388,2007
[55]Tsai, WT, Huang, Q, Ontology-based dynamic process collaboration in service-oriented architecture, IEEE International Conference on Service-Oriented Computing and Applications, Proceedings:39-46,2007
[56]毛军.基于RDF的叙词表研究[J].情报学报,2003,22(2)：163-168
[57]Stijn Verstichela, Sofie Van Hoecke, Matthias Strobbe, Steven Van den Berghe, Filip De Turck, Bart Dhoedt, Piet Demeester, Frederik Vermeulen. Ontology-driven middleware for next-generation train backbones[J]. ScienceDirect, science of computer programming 2007,66: 4-24
[58]卢胜军,真溱.本体集成相关的基本概念研究[J].情报理论与实践,2008,31(3)：443-446
[59]王万森.人工智能原理及其应用[M].北京,电子工业出版社,2002,11(3)：44-45
[60]Jena2 Inference support[OL]. [2005-06-10]. http://Jena.sourceforge.net/inference/#rules
[61]徐国虎,许芳,董慧.基于语义关系的本体推理规则研究——以国共合作领域本体库为例[J].中国图书馆学报,2007,33(171)：88-92
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |