Paper Info
Title
Named relationship mining from medical literature
Abstract
This article addresses the task of mining named relationships between concepts from biomedical literature for indexing purposes or for scientific discovery from medical literature. This research builds on previous work on concept mining from medical literature for indexing purposes and proposes to learn semantic relationships names between concepts learnt. Previous ConceptMiner system did learn pairs of concepts, expressing a relationship between two concepts, but did not learn relationships semantic names. Building on ConceptMiner, RelationshipMiner is interested in learning as well the relationships with their name identified from the Unified Medical Language System (UMLS) knowledge-base as a basis for creating higher-level knowledge structures, such as rules, cases, and models, in future work. Current system is focused on learning semantically typed relationships as predefined in the UMLS, for which a dictionary of synonyms and variations has been created. An evaluation is presented showing that actually this relationship mining task improves the concept mining task results by enabling a better screening of the relationships between concepts for relevant ones.
Year
DOI
Venue
2006
10.1007/11790853_6
Industrial Conference on Data Mining
Keywords
Field
DocType
previous conceptminer system,relationships semantic name,concept mining,semantic relationships name,indexing purpose,biomedical literature,relationship mining task,concept mining task result,medical literature,concepts learnt,text mining,indexation,knowledge base,information retrieval,unified medical language system,semantic web,knowledge discovery,medical informatics
Data mining,Unified Modeling Language,Computer science,Semantic Web,Search engine indexing,Natural language processing,Artificial intelligence,Knowledge base,Concept mining,Knowledge extraction,Unified Medical Language System,Machine learning,Semantics
Conference
Volume
ISSN
ISBN
4065
0302-9743
3-540-36036-0
Citations 
PageRank 
References 
2
0.39
13
Authors
1
Name
Order
Citations
PageRank
Isabelle Bichindaritz153255.74