Author(s): Bichindaritz I; Akkineni S

Title: Concept mining for indexing medical literature

Source: MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS 3587: 682-691

Date: 2005 

Document Type: Book in series : Proceedings Paper

DOI:  

Language: English

LCR: 2   CR: 15   LCS: 2   GCS: 3

Comment:  

Address: Univ Washington, Tacoma, WA 98402 USA.

Reprint: Bichindaritz, I, Univ Washington, 1900 Commerce St,Box 358426, Tacoma,
WA 98402 USA.

E-mail: ibichind@u.washington.edu

Author Keywords:  

KeyWords Plus: COMPLEMENTARY LITERATURES; DISCOVERY

Abstract: This article addresses the task of mining concepts from biomedical literature to index and search through this documents base. This research takes place within the Telemakus project, which has for goal to support and facilitate the knowledge discovery process by providing retrieval, visual, and interaction tools to mine and map research findings from research literature in the field of aging. A concept mining component automating research findings extraction such as the one presented here, would permit Telemakus to be efficiently applied to other domains. The main principle that has been followed in this project has been to mine from the legends of the documents the research findings as relationships between concepts from the medical literature. The concept mining proceeds through stages of syntactic analysis, semantic analysis, relationships building, and ranking.