Text mining and ontologies in biomedicine: Making sense of raw text

Spasic I; Ananiadou S; McNaught J; Kumar A

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Text mining and ontologies in biomedicine: Making sense of raw text

机译：生物医学中的文本挖掘和本体论：理解原始文本

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The volume of biomedical literature is increasing at such a rate that it is becoming difficult to locate, retrieve and manage the reported information without text mining, which aims to automatically distill information, extract facts, discover implicit links and generate hypotheses relevant to user needs. Ontologies, as conceptual models, provide the necessary framework for semantic representation of textual information. The principal link between text and an ontology is terminology, which maps terms to domain-specific concepts. This paper summarises different approaches in which ontologies have been used for text-mining applications in biomedicine.

机译：生物医学文献的数量以这样一种速度增长，即在没有文本挖掘的情况下，查找，检索和管理所报告的信息变得越来越困难，该文本挖掘旨在自动提取信息，提取事实，发现隐式链接并生成与用户需求相关的假设。本体作为概念模型，为文本信息的语义表示提供了必要的框架。文本和本体之间的主要联系是术语，它将术语映射到特定领域的概念。本文总结了将本体用于生物医学文本挖掘应用程序的不同方法。

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《Briefings in bioinformatics》 |2005年第3期|共13页
作者
Spasic I; Ananiadou S; McNaught J; Kumar A;
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正文语种 eng
中图分类遗传学;
关键词
text mining; ontology; terminology; information extraction; information retrieval; NAMED ENTITY RECOGNITION; INFORMATION EXTRACTION; SYSTEM; TERMS; PARSER; MODEL;

机译：文本挖掘;本体;术语;信息提取;信息检索;实体识别;信息提取;系统;术语;解析器;模型;

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1. Text mining and ontologies in biomedicine: Making sense of raw text [J] . Spasic I, Ananiadou S, McNaught J, Briefings in bioinformatics . 2005,第3期

机译：生物医学中的文本挖掘和本体论：理解原始文本
2. An Ontology-Based Text Mining Method to Develop D-Matrix From Unstructured Text [J] . Rajpathak D.G., Singh S. Systems, Man, and Cybernetics: Systems, IEEE Transactions on . 2014,第7期

机译：基于本体的文本挖掘方法，从非结构化文本开发D矩阵
3. Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies [J] . Winnenburg R, Wachter T, Plake C, Briefings in bioinformatics . 2008,第6期

机译：来自文本的事实：文本挖掘能否帮助扩展具有本体论的基因产物的高质量手动管理
4. Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements [C] . Onyeka Emebo, Aparna S. Varde, Olawande Daramola International Conference on Data Mining . 2016

机译：常识知识，本体和文本挖掘用于隐性要求
5. Text and network mining for literature-based scientific discovery in biomedicine [D] . Ozgur, Arzucan 2010

机译：文本和网络挖掘在生物医学中基于文献的科学发现
6. Ion Channel ElectroPhysiology Ontology (ICEPO) – a case study of text mining assisted ontology development [O] . Ravikumar Komandur Elayavilli, Hongfang Liu 2016

机译：离子通道电生理学本体（ICEPO）–文本挖掘辅助本体开发的案例研究
7. Text mining and ontologies in biomedicine: making sense of raw text [O] . Irena Spasic, Sophia Ananiadou, John Mcnaught 2005

机译：生物医学中的文本挖掘和本体论：理解原始文本
8. Science and Technology Text Mining: Text Mining of the Journal Cortex [R] . Kostoff, R. N. , Buchtel, H. A. , Andrews, J. , 2004

机译：科技文本挖掘：期刊皮质的文本挖掘

Text mining and ontologies in biomedicine: Making sense of raw text

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