POPULATING BIOMEDICAL ONTOLOGIES FROM NATURAL LANGUAGE TEXTS

被引：0

作者：

Maria Ruiz-Martinez, Juana ^{[1
]}

Valencia-Garcia, Rafael ^{[1
]}

Martinez-Bejar, Rodrigo ^{[1
]}

Hoffmann, Achim ^{[2
]}

机构：

[1] Univ Murcia, Fac Comp Sci, Campus Espinardo, E-30100 Murcia, Spain

[2] Univ New South Wales, Sch Comp Sci & Engn, Sydney, NSW 2052, Australia

来源：

KEOD 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE ENGINEERING AND ONTOLOGY DEVELOPMENT | 2010年

关键词：

Ontology Population; Semantic Role; Knowledge Acquisition; KNOWLEDGE; RECOGNITION; ACQUISITION; EXTRACTION; MODEL;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Ontology population is a knowledge acquisition activity that relies on (semi-) automatic methods to transform unstructured, semi-structured and structured data sources into instance data. In this work, a semantic-role based process for ontology population is presented that provides a suitable framework for textual knowledge acquisition in the biological domain. In particular, with our approach, a given ontology can be enriched by adding instances gathered from biological natural language texts. Our system's modular architecture provides a greater versatility than current approaches in the mentioned domain, as the process of ontology population is not directly dependent on the linguistic rules developed from the corpus.

引用

页码：27 / 36

页数：10

共 50 条

[31] Evaluation of Language Models for Multilabel Classification of Biomedical Texts
Syriopoulos, Panagiotis G.
Andriopoulos, Andreas D.
Koutsomitropoulos, Dimitrios A.
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS, PT I, AIAI 2024, 2024, 711 : 68 - 78
[32] Mining Arguments from Cancer Documents Using Natural Language Processing and Ontologies
Groza, Adrian
Popa, Oana Maria
2016 IEEE 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2016, : 77 - 84
[33] Artificial ontologies and real thoughts: Populating the semantic web?
Ahmad, Khurshid
AI(ASTERISK)IA 2007: ARTIFICIAL INTELLIGENCE AND HUMAN-ORIENTED COMPUTING, 2007, 4733 : 3 - 23
[34] Populating legal ontologies using semantic role labeling
Humphreys, Llio
Boella, Guido
van der Torre, Leendert
Robaldo, Livio
Di Caro, Luigi
Ghanavati, Sepideh
Muthuri, Robert
ARTIFICIAL INTELLIGENCE AND LAW, 2021, 29 (02) : 171 - 211
[35] Populating Legal Ontologies using Semantic Role Labeling
Humphreys, Llio
Boella, Guido
van der Torre, Leendert
Robaldo, Livio
Di Caro, Luigi
Ghanavati, Sepideh
Muthuri, Robert
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020), 2020, : 2157 - 2166
[36] Populating legal ontologies using semantic role labeling
Llio Humphreys
Guido Boella
Leendert van der Torre
Livio Robaldo
Luigi Di Caro
Sepideh Ghanavati
Robert Muthuri
Artificial Intelligence and Law, 2021, 29 : 171 - 211
[37] Polysemy in Controlled Natural Language Texts
Gruzitis, Normunds
Barzdins, Guntis
CONTROLLED NATURAL LANGUAGE, 2010, 5972 : 102 - 120
[38] Natural Language Processing for Historical Texts
Rosmorduc, Serge
TRAITEMENT AUTOMATIQUE DES LANGUES, 2012, 53 (03): : 155 - 157
[39] Natural Language Processing for Historical Texts
Romary, Laurent
COMPUTATIONAL LINGUISTICS, 2014, 40 (01) : 231 - 233
[40] The rhetorical parsing of natural language texts
Marcu, D
35TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 8TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 1997, : 96 - 103

← 1 2 3 4 5 →