eprintid: 656
rev_number: 11
eprint_status: archive
userid: 23
dir: disk0/00/00/06/56
datestamp: 2011-05-31 16:46:01
lastmod: 2016-05-27 21:05:21
status_changed: 2011-05-31 16:46:01
type: conference_item
metadata_visibility: show
item_issues_count: 0
creators_name: Kuehn, Randy
creators_name: Miracle, Calvin
title: Identifying Corresponding Records Across Multiple Data Formats 
ispublished: pub
subjects: voyager
divisions: eluna_conf
abstract: Managing multiple information systems that reference like items with differing data formats can be an arduous task. The complexity is compounded when attempting to make corrections to records on a large scale when data varies and unique identifiers do not exist. It is here where fuzzy logic can be an effective solution. This session will outline a multifaceted fuzzy string matching method used to analyze MARC records from Voyager and their metadata counterparts from CONTENTdm in order to correct mismatched data. 
date: 2011-05
date_type: published
full_text_status: restricted
pres_type: lecture
event_title: ELUNA 2011
event_location: Milwaukee, Wisconsin
event_dates: 11-13 May 2011
event_type: conference
refereed: FALSE
citation:   Kuehn, Randy and Miracle, Calvin  (2011) Identifying Corresponding Records Across Multiple Data Formats.  In: ELUNA 2011, 11-13 May 2011, Milwaukee, Wisconsin.     
document_url: https://documents.el-una.org/id/eprint/656/1/Identifying_Corresponding_Records_Across_Multiple_Data_Formats-Kuehn.ppt