Development of Content-Based Metadata Scheme of Classical Poetry in Thai National Historical Corpus

  • Songphan ChoemprayongEmail author
  • Pittayawat Pittayaporn
  • Vipas Pothipath
  • Thaneerat Jatuthasri
  • Jinawat Kaenmuang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11279)


This paper addresses a conceptual framework and an application of a content-based metadata scheme of classical poetry currently deployed in the Thai National Historical Corpus (TNHC). The corpus aims to collect texts representing the Thai language from different historical periods. Applying a metadata modeling approach, the variation of classical Thai poetry is analyzed in terms of components in every verse form. The compositions of wak, baat, stanza, paragraph, and chapter are identified as main elements for the conceptual framework. For theatrical works, essential elements including <sound> and <stage> tags were also implemented. TNHC selectively applied certain standard TEI encoding elements, in XML format, to describe the content structure of the poetry. This is an early attempt to develop a metadata scheme for classical Thai poetry. There are still a number of opportunities to improve the discovery and interoperability of the collection as well as to enhance the data entry process, data management, and retrieval performance of the corpus.


Historical corpus Metadata scheme Classical poetry Thai language TEI 



The Thai National Historical Corpus is a part of the project in celebration of HRH Princess Maha Chakri Sirindhorn’s 60th birthday, organized by the Faculty of Arts, Chulalongkorn University, funded by the Maha Chakri Sirindhorn Foundation for the Faculty of Arts. The preparation of this manuscript is also partially supported by the Arc of Memory Research Unit and the Behavioral Research and Informatics in Social Science Research Unit, Chulalongkorn University. The authors would like to thank all research team members, including Pakjira Thammanutham, Karnwiruch Nuchpraharn, Santhawat Thanyawong, Wannabha Sapphasit, Naris Jereeratana, Sireemas Maspong, Thanasak Sirikhanerat, Jakrabhop Iamdanush, Ponlawat Laimanoo, Nopparut Sanah, and Phongpat Matheethammawat, for their tremendous contributions to this project.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.The Arc of Memory Research UnitChulalongkorn UniversityBangkokThailand
  2. 2.Behavioral Research and Informatics in Social Science Research UnitChulalongkorn UniversityBangkokThailand
  3. 3.Department of Library Science, Faculty of ArtsChulalongkorn UniversityBangkokThailand
  4. 4.Department of Linguistics, Faculty of ArtsChulalongkorn UniversityBangkokThailand
  5. 5.Department of Thai, Faculty of ArtsChulalongkorn UniversityBangkokThailand

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