Title :
Cross-domain approximate string matching
Author :
Lopresti, Daniel ; Wilfong, Gordon
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
Abstract :
Approximate string matching is an important paradigm in domains ranging from speech recognition to information retrieval and molecular biology. We introduce a new formalism for a class of applications that takes two strings as input, each specified in terms of a particular domain, and performs a comparison motivated by constraints derived from a third, possibly different domain. This issue arises, for example, when searching multimedia databases built using imperfect recognition technologies (e.g., speech, optical character, and handwriting recognition). We present a polynomial time algorithm for solving the problem, and describe several variations that can also be solved efficiently
Keywords :
information retrieval; set theory; string matching; text editing; cross-domain approximate string matching; handwriting recognition; imperfect recognition technologies; information retrieval; molecular biology; multimedia databases; optical character; polynomial time algorithm; speech recognition; Biomedical optical imaging; Costs; Data structures; Formal languages; Identity-based encryption; Information retrieval; Reactive power; Read only memory; Sequences; Speech recognition;
Conference_Titel :
String Processing and Information Retrieval Symposium, 1999 and International Workshop on Groupware
Conference_Location :
Cancun
Print_ISBN :
0-7695-0268-7
DOI :
10.1109/SPIRE.1999.796586