Information Retrieval in Biomedical Research
Zina Ben Miled,
Nianhua Li,
Malika Mahoui,
Omran Bukhres,
Zina Ben Miled
Indiana University Purdue University Indianapolis, Electrical and Computer Engineering Department, Indianapolis, Indiana
Search for more papers by this authorNianhua Li
Indiana University Purdue University Indianapolis, Electrical and Computer Engineering Department, Indianapolis, Indiana
Search for more papers by this authorMalika Mahoui
Indiana University Purdue University Indianapolis, Computer and Information Science Department, Indianapolis, Indiana
Search for more papers by this authorOmran Bukhres
Indiana University Purdue University Indianapolis, Computer and Information Science Department, Indianapolis, Indiana
Search for more papers by this authorZina Ben Miled,
Nianhua Li,
Malika Mahoui,
Omran Bukhres,
Zina Ben Miled
Indiana University Purdue University Indianapolis, Electrical and Computer Engineering Department, Indianapolis, Indiana
Search for more papers by this authorNianhua Li
Indiana University Purdue University Indianapolis, Electrical and Computer Engineering Department, Indianapolis, Indiana
Search for more papers by this authorMalika Mahoui
Indiana University Purdue University Indianapolis, Computer and Information Science Department, Indianapolis, Indiana
Search for more papers by this authorOmran Bukhres
Indiana University Purdue University Indianapolis, Computer and Information Science Department, Indianapolis, Indiana
Search for more papers by this authorFirst published: 14 April 2006
Abstract
Information retrieval is important in various biomedical research fields. This article covers the theoretical background and the state-of-the-art and future trends in biomedical information retrieval. Techniques for literature searches, genomic information retrieval, and database searches are discussed. Literature searches techniques cover name entity extraction, document indexing, document clustering, and event extraction. Genomic information retrieval techniques are based on sequence alignment algorithms. This article also briefly describes widely used biological databases and discusses the issues related to the information retrieval from these databases. Terminology systems are involved in almost every aspect of information retrieval. The various types of terminology systems and their usage to support information retrieval are reviewed.
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