Open AccessApplication of FRBR to existing MARC data: A comparison of outcomes
Author(s) -
Mitchell Erik,
McCallum Carolyn,
Strickland Patricia
Publication year - 2011
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2011.14504801150
Subject(s) - computer science , python (programming language) , information retrieval , software deployment , matching (statistics) , set (abstract data type) , world wide web , source code , database , process (computing) , software engineering , programming language , data mining , statistics , mathematics
This poster examines the outcomes of the application of FRBR algorithmic approaches for conversion of existing MARC datasets. The source data in this research includes the records from a medium sized academic library and consist of 1.6 Million records. The conversion is compared with other FRBR approaches. The authors utilized the OCLC FRBR work‐set algorithm to create programs in the Python platform to generate match fields. These match points were loaded into a MySQL database and compared to generate match points. This poster presents the outcomes of the first comparisons of this data based primarily on the OCLC algorithm. It documents the process of creating the programs and discusses next steps in both formalizing the code for deployment and refinement to enable more complete matching of FRBR keys.