Terminology-driven literature mining and knowledge acquisition in biomedicine
In this paper we describe Tagged Information Management System (TIMS), an integrated knowledge management system for the domain of molecular biology and biomedicine, in which terminology-driven literature mining, knowledge acquisition (KA), knowledge integration (KI), and XML-based knowledge retriev...
Saved in:
Published in | International journal of medical informatics (Shannon, Ireland) Vol. 67; no. 1; pp. 33 - 48 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Ireland
Elsevier Ireland Ltd
04.12.2002
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In this paper we describe Tagged Information Management System (TIMS), an integrated knowledge management system for the domain of molecular biology and biomedicine, in which terminology-driven literature mining, knowledge acquisition (KA), knowledge integration (KI), and
XML-based knowledge retrieval are combined using tag information management and ontology inference. The system integrates automatic terminology acquisition, term variation management, hierarchical term clustering, tag-based information extraction (IE), and ontology-based query expansion. TIMS supports introducing and combining different types of tags (linguistic and domain-specific, manual and automatic). Tag-based interval operations and a query language are introduced in order to facilitate KA and retrieval from
XML documents. Through KA examples, we illustrate the way in which literature mining techniques can be utilised for knowledge discovery from documents. |
---|---|
Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1386-5056 1872-8243 |
DOI: | 10.1016/S1386-5056(02)00055-2 |