A text mining system for bioinformatics: requirements and architecture

Ilkka Karanta; Antti Pesonen; Lauri Seitsonen; Paula Silvonen

A text mining system for bioinformatics: requirements and architecture

Ilkka Karanta, Antti Pesonen, Lauri Seitsonen, Paula Silvonen

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

We describe OAT, a new information extraction system under development. It extracts (subject, predicate, object) triplets from natural language texts. It uses ontologies extensively: the results are saved in an ontology, and ontologies are used in the information extraction process itself. It is adaptable both to a domain of discourse and within a domain of discourse (finding new concepts). This paper concentrates on the requirements and architecture of OAT.

Original language	English
Title of host publication	Poster proceedings
Subtitle of host publication	Industrial Conference on Data Mining, ICDM 2006. Leipzig, DE, 13 - 14 July 2006.
Editors	Petra Perner
Place of Publication	Leipzig
Pages	225-229
Publication status	Published - 2006
MoE publication type	Not Eligible

Keywords

information extraction
ontology
software requirements
software architecture

Cite this

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title = "A text mining system for bioinformatics: requirements and architecture",

abstract = "We describe OAT, a new information extraction system under development. It extracts (subject, predicate, object) triplets from natural language texts. It uses ontologies extensively: the results are saved in an ontology, and ontologies are used in the information extraction process itself. It is adaptable both to a domain of discourse and within a domain of discourse (finding new concepts). This paper concentrates on the requirements and architecture of OAT.",

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author = "Ilkka Karanta and Antti Pesonen and Lauri Seitsonen and Paula Silvonen",

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A text mining system for bioinformatics: requirements and architecture. / Karanta, Ilkka; Pesonen, Antti; Seitsonen, Lauri; Silvonen, Paula.

Poster proceedings: Industrial Conference on Data Mining, ICDM 2006. Leipzig, DE, 13 - 14 July 2006.. ed. / Petra Perner. Leipzig, 2006. p. 225-229.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - A text mining system for bioinformatics: requirements and architecture

AU - Karanta, Ilkka

AU - Pesonen, Antti

AU - Seitsonen, Lauri

AU - Silvonen, Paula

N1 - Project code: 4389

PY - 2006

Y1 - 2006

N2 - We describe OAT, a new information extraction system under development. It extracts (subject, predicate, object) triplets from natural language texts. It uses ontologies extensively: the results are saved in an ontology, and ontologies are used in the information extraction process itself. It is adaptable both to a domain of discourse and within a domain of discourse (finding new concepts). This paper concentrates on the requirements and architecture of OAT.

AB - We describe OAT, a new information extraction system under development. It extracts (subject, predicate, object) triplets from natural language texts. It uses ontologies extensively: the results are saved in an ontology, and ontologies are used in the information extraction process itself. It is adaptable both to a domain of discourse and within a domain of discourse (finding new concepts). This paper concentrates on the requirements and architecture of OAT.

KW - information extraction

KW - ontology

KW - software requirements

KW - software architecture

M3 - Conference article in proceedings

SP - 225

EP - 229

BT - Poster proceedings

A2 - Perner, Petra

CY - Leipzig

ER -

A text mining system for bioinformatics: requirements and architecture

Abstract

Keywords

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Cite this