
Content-Based Information Retrieval and Digital Libraries
Author(s) -
Gary Wan,
Zao Liu
Publication year - 2008
Publication title -
information technology and libraries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 34
eISSN - 2163-5226
pISSN - 0730-9295
DOI - 10.6017/ital.v27i1.3262
Subject(s) - computer science , information retrieval , digital library , human–computer information retrieval , world wide web , complement (music) , process (computing) , data retrieval , cognitive models of information retrieval , multimedia , search engine , art , biochemistry , chemistry , operating system , literature , poetry , complementation , gene , phenotype
This paper discusses the applications and importance of content-based information retrieval technology in digital libraries. It generalizes the process and analyzes current examples in four areas of the technology. Content-based information retrieval has been shown to be an effective way to search for the type of multimedia documents that are increasingly stored in digital libraries. As a good complement to traditional textbased information retrieval technology, content-based information retrieval will be a significant trend for the development of digital libraries