Ontologies for Bioinformatics (Hardcover) (生物資訊學的本體論)

Kenneth Baclawski, Tianhua Niu

Ontologies for Bioinformatics (Hardcover)
  • 出版商: MIT
  • 出版日期: 2005-09-23
  • 售價: $1,390
  • 貴賓價: 9.8 折 $1,362
  • 語言: 英文
  • 頁數: 440
  • 裝訂: Hardcover
  • ISBN: 0262025914
  • ISBN-13: 9780262025911
  • 相關分類: 生物資訊 Bioinformatics

    • 立即出貨 (庫存 < 3)

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Description:

Recent advances in biotechnology, spurred by the Human Genome Project, have resulted in the accumulation of vast amounts of new data. Ontologies -- computer-readable, precise formulations of concepts (and the relationship among them) in a given field -- are a critical framework for coping with the exponential growth of valuable biological data generated by high-output technologies. This book introduces the key concepts and applications of ontologies and ontology languages in bioinformatics and will be an essential guide for bioinformaticists, computer scientists, and life science researchers.

The three parts of Ontologies for Bioinformatics ask, and answer, three pivotal questions: what ontologies are; how ontologies are used; and what ontologies could be (which focuses on how ontologies could be used for reasoning with uncertainty). The authors first introduce the notion of an ontology, from hierarchically organized ontologies to more general network organizations, and survey the best-known ontologies in biology and medicine. They show how to construct and use ontologies, classifying uses into three categories: querying, viewing, and transforming data to serve diverse purposes. Contrasting deductive, or Boolean, logic with inductive reasoning, they describe the goal of a synthesis that supports both styles of reasoning. They discuss Bayesian networks as a way of expressing uncertainty, describe data fusion, and propose that the World Wide Web can be extended to support reasoning with uncertainty. They call this inductive reasoning web the Bayesian web.

Kenneth Baclawski is Associate Professor of Computer Science at Northeastern University.

Tianhua Niu is Assistant Professor of Medicine at Harvard Medical School and Director of Bioinformatics, Division of Preventive Medicine, at Brigham and Women's Hospital, Boston.

 

 

Table of Contents:

Preface xi
I Introduction to Ontologies 1
1 Hierarchies and Relationships 3
2 XML Semantics 35
3 Rules and Inference 51
4 The Semantic Web and Bioinformatics Applications 61
5 Survey of Ontologies in Bioinformatics 89
II Building and Using Ontologies 127
6 Information Retrieval 129
7 Sequence Similarity Searching Tools 155
8 Query Languages 175
9 The Transformation Process 187
10 Transforming with Traditional Programming Languages 203
11 The XML Transformation Language 261
12 Building Bioinformatics Ontologies 281
III Reasoning with Uncertainty 319
13 Inductive vs. Deductive Reasoning 321
14 Bayesian Networks 331
15 Combining Information 355
16 The Bayesian Web 369
17 Answers to Selected Exercises 379
References 393
Index 413

商品描述(中文翻譯)

描述：
生物技術的最新進展，受到人類基因組計劃的推動，已經累積了大量的新數據。本書介紹了本體論和本體語言在生物信息學中的關鍵概念和應用，將成為生物信息學家、計算機科學家和生命科學研究人員的必備指南。

《生物信息學的本體論》的三個部分提出並回答了三個關鍵問題：什麼是本體論；本體論如何使用；以及本體論可以是什麼（重點是本體論如何用於不確定性推理）。作者首先介紹了本體論的概念，從分層組織的本體論到更一般的網絡組織，並調查了生物學和醫學中最著名的本體論。他們展示了如何構建和使用本體論，將使用分為三個類別：查詢、查看和轉換數據以滿足不同目的。他們將演繹或布爾邏輯與歸納推理進行對比，描述了支持兩種推理風格的綜合目標。他們討論了貝葉斯網絡作為表達不確定性的一種方式，描述了數據融合，並提出了可以擴展以支持不確定性推理的全球資訊網。他們稱之為歸納推理網絡貝葉斯網絡。

肯尼斯·巴克勞斯基（Kenneth Baclawski）是東北大學計算機科學副教授。

牛天華（Tianhua Niu）是哈佛醫學院醫學助理教授，也是布里格姆婦女醫院預防醫學部生物信息學主任。

目錄：
前言
第一部分：本體論入門
第一章：層次結構和關係
第二章：XML語義
...

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