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Terminology-driven literature mining and knowledge acquisition in biomedicine.

Abstract：

: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.

journal_name

Int J Med Inform

journal_title

International journal of medical informatics

authors

Nenadić G,Mima H,Spasić I,Ananiadou S,Tsujii J

doi

10.1016/s1386-5056(02)00055-2

subject

Has Abstract

pub_date

2002-12-04 00:00:00

pages

33-48

issue

1-3

eissn

1386-5056

issn

1872-8243

pii

S1386505602000552

journal_volume

67

pub_type

杂志文章

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