当前位置>主页 > 期刊在线 > 信息技术 >

信息技术2019年17期

博物馆领域本体工程的实践
章维亚 ¹,杨世瀚 ²
(1. 广西壮族自治区博物馆,广西 南宁 530021;2. 昆明理工大学 管理与经济学院,云南 昆明 650093)

摘  要:智慧博物馆的发展为藏品信息的知识化组织提出了新的需求,基于本体工程学的方法,提出博物馆藏品信息的知识化结构模型,构建博物馆领域本体,建立推理引擎,充分表达和发展博物馆领域的知识体系,并开发博物馆领域的智能应用系统。以博物馆藏品信息为中心的博物馆本体知识库既克服了传统的账目式信息结构的不足,又可表达藏品的展览信息、文化信息、美学信息、传播信息等重要的非物质信息。本文基于博物馆本体知识库开发了一个智能应用。


关键词:智慧博物馆;藏品知识结构;本体工程;本体语言



中图分类号:TP391;G264         文献标识码:A         文章编号:2096-4706(2019)17-0001-05


Practice of Ontology Engineering in Museum Domain

ZHANG Weiya1,YANG Shihan2

(1.The Museum of Guangxi Zhuang Autonomous Region,Nanning 530021,China;2.Faculty of Management and Economics,Kunming University of Science and Technology,Kunming 650093,China)

Abstract:The development of wisdom museum has put forward new demands for the knowledge organization of collections information,which is based on ontology engineering method. This paper proposes a knowledge structure model of museum collection information,constructs museum domain ontology,establishes reasoning engine,fully expresses and develops museum domain knowledge system,and develops intelligent application system in museum domain. The museum ontology knowledge base centered on museum collection information not only overcomes the shortcomings of traditional accounting information structure,but also expresses important intangible information such as exhibition information,cultural information,aesthetic information and dissemination information. This paper develops an intelligent application based on museum ontology knowledge base.

Keywords:intelligent museum;collections’knowledge structure;ontology engineering;ontology language


参考文献:

[1] 王建平. 论博物馆藏品信息管理 [J]. 中国博物馆,2001(2):82-91.

[2] 宋新潮. 关于智慧博物馆体系建设的思考 [J]. 中国博物馆,2015,32(2):12-15+41.

[3] Studer R . Knowledge engineering:Principles and methods [J].Data & Knowledge Engineering,1998,25(1-2):161-197.

[4] Clancey,William J. The knowledge level reinterpreted:Modeling how systems interact [J].Machine Learning,1989,4(3-4):285-291.

[5] Morik K. Underlying assumptions of knowledge acquisition and machine learning [J].Knowledge Acquisition,1991,3(2):137-156.

[6] Gruber T R. Toward principles for the design of ontologies used for knowledge sharing? [J].International Journal of Human-Computer Studies,1995,43(5-6):907-928.

[7] Musen M. The Protégé project:A look back and a look forward [J].AI Matters,2015,1(4):4-12.

[8] Yang S,Wu J. Mapping Relational Databases into Ontologies through a Graph-based Formal Model [C]//Sixth International Conference on Semantics. IEEE Computer Society,2010:219-226.

[9] 国家文物局. 博物馆藏品信息指标体系规范(试行)(文物博发[2001]81 号) [S/OL].[2008-07-09].http://www.sach.gov.cn/art/2008/7/9/art_90_2819.html.

[10] Bechhofer S. OWL:Web Ontology Language [J].Encyclopedia of Information Science & Technology Second Edition,2004,63(45):990-996.

[11] Sirin E,Parsia B,Grau B C,et al. Pellet:a practical OWLDL reasoned [J].Journal of Web Semantics,2007,5(2):51-53.

[12] Horrocks I,Sattler U,Tobies S. Practical Reasoning for Expressive Description Logics [M]// Logic for Programming and Automated Reasoning. Springer Berlin Heidelberg,1999.

[13] Horrocks I. Practical reasoning for very expressive description logics [J].Logic Journal of IGPL,2000,8(3):239-263.

[14] Angles R,Gutierrez C. The Expressive Power of SPARQL [C]//International Semantic Web Conference. Springer,Berlin,Heidelberg,2008:114-129.


作者简介:

章维亚(1980-),女,汉族,湖北武汉人,硕士,研究方向:智慧博物馆、瓷器保管与研究;

杨世瀚(1972-),男,汉族,湖北荆门人,博士,研究方向:智能决策、智能信息处理。