Using Clustering Strategies for Creating Authority Files

摘要

As more online databases are integrated into digital li- braries, the issue of quality control f the data becomes increasingly important, especially as it relates to the effective retrieval of information. Authority work, the need to discover and reconcile variant forms of strings in bibliographic entries, will become more critical in the future. Spelling variants, misspellings, and translitera- tion differences will as increase the difficulty of retriev- ing information. We investigate a number of approximate string matching techniques that have traditionally been used to help with this problem. We then introduce the notion of approximate word matching and show how it can be used to improve detection and categorization of variant forms. We demonstrate the utility of these ap- proaches using data from the Astrophysics Data System and show how we can reduce the human effort involved in the creation of authority files.