Linked open data framework for ethnic groups in Thailand learning

被引:0
|
作者
Chansanam W. [1 ]
Tuamsuk K. [1 ]
Chaikhambung J. [1 ]
Sugimoto S. [2 ]
机构
[1] Khon Kaen University, Khon Kaen
[2] University of Tsukuba, Ibaraki
来源
Chansanam, Wirapong (wirach@kku.ac.th) | 1600年 / Kassel University Press GmbH卷 / 15期
关键词
Ethnic groups in Thailand; Framework; Learning; Linked open data;
D O I
10.3991/ijet.v15i10.13337
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The key significant worldview of the Semantic Web is Linked Open Data, another period of the World Wide Web that capacities to carry suggestions to information. An enormous number of both public and private foundations have distributed their information following the Linked Open Data philosophies, or have done as such with information from different associations. To this degree, since the generation and production of Linked Open Data are thorough designing procedures that require high consideration so as to achieve high caliber, and since experience has uncovered that current general guidance is not constantly adequate to be applied to each area, this paper presents a lot of guidance system for creating and distributing Linked Open Data with regards to ethnic groups in Thailand to outside (TEG-LOD Framework). This framework offers an exhaustive depiction of the undertakings to perform, including a rundown of steps, tools that help in accomplishing the errand, different alternatives for achievement of the assignment, and best practices and proposals. Also, this paper exhibits a pilot model on the generation and distribution of Linked Open Data about ethnic groups in Thailand, adhering to the available guidance, where the ethnic groups in Thailand are the property of the Princess Maha Chakri Sirindhorn Anthropology Center (SAC) have been made and distributed as Linked Open Data. © Kassel University Press GmbH.
引用
收藏
页码:140 / 156
页数:16
相关论文
共 50 条
  • [1] Linked Open Data Framework for Ethnic Groups in Thailand Learning
    Chansanam, Wirapong
    Tuamsuk, Kulthida
    Chaikhambung, Juthatip
    Sugimoto, Shigeo
    INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2020, 15 (10): : 140 - 156
  • [2] Developing a Knowledge Organization System for Ethnic Groups in Lao PDR through Linked Open Data Techniques
    Chansanam, Wirapong
    Chotkamonsawad, Pitipat
    Nguyen, Lan Thi
    JOURNAL OF THE AUSTRALIAN LIBRARY AND INFORMATION ASSOCIATION, 2024, 73 (01) : 84 - 97
  • [3] Mobile Learning with Linked Open Data
    Arrigo, Marco
    Taibi, Davide
    Fulantelli, Giovanni
    INTERNATIONAL JOURNAL OF EDUCATION AND INFORMATION TECHNOLOGIES, 2014, 8 : 211 - 218
  • [4] Participatory Learning in Linked Open Data
    Reformat, Marek Z.
    Yager, Ronald R.
    PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, 2015, 89 : 1620 - 1627
  • [5] Supporting contextualized learning with linked open data
    Ruiz-Calleja, Adolfo
    Vega-Gorgojo, Guillermo
    Bote-Lorenzo, Miguel L.
    Asensio-Perez, Juan, I
    Dimitriadis, Yannis
    Gomez-Sanchez, Eduardo
    JOURNAL OF WEB SEMANTICS, 2021, 70
  • [6] Learning Object Metadata Mapping for Linked Open Data
    Thangsupachai, Noppol
    Niwattanakul, Suphakit
    Chamnongsri, Nisachol
    EMERGENCE OF DIGITAL LIBRARIES - RESEARCH AND PRACTICES, 2014, 8839 : 122 - 129
  • [7] Learning object metadata mapping for Linked Open Data
    Thangsupachai, Noppol
    Niwattanakul, Suphakit
    Chamnongsri, Nisachol
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8839 : 122 - 129
  • [8] A linked open data framework to enhance the discoverability and impact of culture heritage
    Candela, Gustavo
    Escobar, Pilar
    Carrasco, Rafael C.
    Marco-Such, Manuel
    JOURNAL OF INFORMATION SCIENCE, 2019, 45 (06) : 756 - 766
  • [9] An Integrated Framework for RESTful Web Services Using Linked Open Data
    Modi, Kiritkumar J.
    Garg, Sanjay
    Chaudhary, Sanjay
    INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2019, 11 (02) : 24 - 49
  • [10] LOD-GF: An Integral Linked Open Data Generation Framework
    Saquicela, Victor
    Segarra, Jose
    Ortiz, Jose
    Tello, Andres
    Espinoza, Mauricio
    Lupercio, Lucia
    Villazon-Terrazas, Boris
    INFORMATION AND COMMUNICATION TECHNOLOGIES OF ECUADOR (TIC.EC), 2019, 884 : 283 - 300