Automatically creating Authority Files from bibliographic databases using the Faceted Application of Subject Terminology (FAST)

Main Article Content

Yuttana Jaroenruen

Abstract

This research aims to (1) Study and analyze the Authority files according to MARC 21 format (2) To compare bibliographic data in the Walai AutoLib database by using schema of Faceted Application of Subject Terminology (FAST) and (3) To automatically generate set of Lookup files that associate records in the Walai AutoLib database with FAST linked data. The steps of research are (1) document analysis for MARC 21 structure, standard and Facet linked data (2) Analyzing the data structure from WALAI AutoLib database system; using 50,000 examples of bibliographic record from CLM Walailaik University.  And (3) Coding Linked data scripts to connect to 8 Data Sources of the Facet Application to automatically update the Authority files.This research aims to (1) Study and analyze the Authority files according to MARC 21 format (2) To compare bibliographic data in the Walai AutoLib database by using schema of Faceted Application of Subject Terminology (FAST) and (3) To automatically generate set of Lookup files that associate records in the Walai AutoLib database with FAST linked data. The steps of research are (1) document analysis for MARC 21 structure, standard and Facet linked data (2) Analyzing the data structure from WALAI AutoLib database system; using 50,000 examples of bibliographic record from CLM Walailaik University.  And (3) Coding Linked data scripts to connect to 8 Data Sources of the Facet Application to automatically update the Authority files. The results of the study are (1) creating three types of authority files: Name, Subject, and Series. (2) Can be linked to FAST's Data sources and automatically compare the Authority files, categorized by Name 72,506 fields, Subject 127,322 fields and Series 7,729 fields. (3) Can automatically create 13 sets of lookup files and automatically update them into the MARC 21 record (Name 44,393 fields, Subject 34,208 fields and Series 37,666 fields. The results of this study will be used as a basis for develop the data sets for Thai control vocabulary linked data in the future.

Keywords

Article Details

Section
Research Article

References

Bennett, R., O’Neill, E. T., & Kammerer, K. (2016). assignFAST: An Autosuggest based tool for FAST Subject Assignment. Information Technology and Libraries, 33(1), 34–43.
Childress, E. R., & Vizine-Goetz, D. (2017). Faceted Application of Subject Terminology (FAST). Encyclopedia of Library and Information, 539–548.
Hjørland, B. (218). Library and Information Science (LIS), Part 1. Knowledge Organization, 3(45), 232–254.
Laurence, C. M. (2013). Linked Data and the Library of Congress. Library Philosophy and Practice (e-journal)(Winter 12-9-2013), 1-26.
Siwanath Nanthapichai, Pornpimol Watcharakul, and Narong Thongrakchan. (2016). Developing of the Application for Controlling the Bibliographic Records. Journal of Information Science, 1(32), 1–33.
Wittaya Tewarangsri, Siwanath Nanthapichai, and Yuttana Jaroenruen. (2014). Data Extracting and Generating the Authority Records from Union Catalog Bibliographic Records. PULINET Journal, 1(1), 115-122.