Publishing legacy data as linked data: a state of the art survey

被引:4
|
作者
Marjit, Ujjal [1 ]
Sharma, Kumar [1 ]
Sarkar, Arup [2 ]
Krishnamurthy, Madaiah [3 ]
机构
[1] Univ Kalyani, CIRM, Kalyani 741235, W Bengal, India
[2] Univ Kalyani, Dept Comp Sci & Engn, Kalyani 741235, W Bengal, India
[3] Indian Stat Inst, DRTC, Bangalore, Karnataka, India
关键词
Linked data; Web of document; Legacy data; Semantic web; Web of data; Semantics; Data management;
D O I
10.1108/LHT-09-2012-0075
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Purpose - This article aims to discuss how the emergence of advanced semantic web technology has transformed the conventional web into machine processable and understandable form. Design/methodology/approach - In this paper the authors survey the current research works, tools and applications on publishing legacy data as linked data with the aspiration of conferring healthier understanding of the working domain of the linked data world. Findings - Today, a vast amount of data are stored in various file formats other than RDF, which are called legacy data. In order to publish them as linked data they need to be extracted and converted into RDF or linked data without altering the original data schema or loss of information. Originality/value - Most of the key issues have to be addressed. A more sophisticated approach to this technology is the linked data, which constructs the transformation of web of documents into the web of connected data possible.
引用
收藏
页码:520 / 535
页数:16
相关论文
共 50 条
  • [1] PUBLISHING THE DATA OF THE SMITHSONIAN AMERICAN ART MUSEUM TO THE LINKED DATA CLOUD
    Szekely, Pedro
    Knoblock, Craig A.
    Yang, Fengyu
    Fink, Eleanor E.
    Gupta, Shubham
    Allen, Rachel
    Goodlander, Georgina
    [J]. INTERNATIONAL JOURNAL OF HUMANITIES AND ARTS COMPUTING-A JOURNAL OF DIGITAL HUMANITIES, 2014, 8 : 152 - 166
  • [2] Publishing CSV Data as Linked Data on the Web
    Mahmud, S. M. Hasan
    Hossin, Md Altab
    Hasan, Md Rezwan
    Jahan, Hosney
    Noori, Sheak Rashed Haider
    Ahmed, Md Razu
    [J]. PROCEEDINGS OF ICETIT 2019: EMERGING TRENDS IN INFORMATION TECHNOLOGY, 2020, 605 : 805 - 817
  • [3] Publishing scientific data as linked open data
    Erkimbaev A.O.
    Zitserman V.Y.
    Kobzev G.A.
    Serebrjakov V.A.
    Teymurazov K.B.
    [J]. Scientific and Technical Information Processing, 2013, 40 (04) : 253 - 263
  • [4] Linked open data in libraries: state of the art
    Martinez Mendez, Francisco Javier
    Pastor-Sanchez, Juan-Antonio
    Lopez Carreno, Rosana
    [J]. INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL, 2020, 25 (02):
  • [5] Methodological Guidelines for Publishing Library Data as Linked Data
    Hidalgo-Delgado, Yusniel
    Estrada-Nelson, Reina
    Xu, Bin
    Villazon-Terrazas, Boris
    Leiva-Mederos, Amed
    Tello, Andres
    [J]. 2017 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER SCIENCE (INCISCOS), 2017, : 241 - 246
  • [6] Publishing Greek Census Data as Linked Open Data
    Petrou, Irene
    Papastefanatos, George
    [J]. ERCIM NEWS, 2014, (96): : 19 - 20
  • [7] Publishing Administrative Units Data as Linked Open Data
    Kara, Gulten
    Comert, Cetin
    [J]. GEOMATIK, 2020, 5 (03): : 172 - 185
  • [8] State of the Art Exploration Systems for Linked Data: A Review
    Jacksi, Karwan
    Dimililer, Nazife
    Zeebaree, Subhi R. M.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (11) : 155 - 164
  • [9] Publishing a Disease Ontologies as Linked Data
    Kozaki, Kouji
    Yamagata, Yuki
    Imai, Takeshi
    Ohe, Kazuhiko
    Mizoguchi, Riichiro
    [J]. SEMANTIC TECHNOLOGY, 2014, 8388 : 110 - 128
  • [10] Towards a Linked Data Publishing Methodology
    Klein, Eduard
    Gschwend, Adrian
    Neuroni, Alessia C.
    [J]. PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE FOR E-DEMOCRACY AND OPEN GOVERNMENT, (CEDEM16), 2016, : 188 - 196