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Introduction to Bio-Ontologies

Introduction to Bio-Ontologies
Author: Peter N. Robinson
Publisher: CRC Press
Total Pages: 514
Release: 2011-06-22
Genre: Computers
ISBN: 1439836663
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Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications.The first part of the book defines ontology and bio-ontologies. It also explains the importan

Introduction to Bio-Ontologies

Introduction to Bio-Ontologies
Author: Peter N. Robinson
Publisher: CRC Press
Total Pages: 517
Release: 2020-09-30
Genre:
ISBN: 9780367659271
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Introduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications. The first part of the book defines ontology and bio-ontologies. It also explains the importance of mathematical logic for understanding concepts of inference in bio-ontologies, discusses the probability and statistics topics necessary for understanding ontology algorithms, and describes ontology languages, including OBO (the preeminent language for bio-ontologies), RDF, RDFS, and OWL. The second part covers significant bio-ontologies and their applications. The book presents the Gene Ontology; upper-level ontologies, such as the Basic Formal Ontology and the Relation Ontology; and current bio-ontologies, including several anatomy ontologies, Chemical Entities of Biological Interest, Sequence Ontology, Mammalian Phenotype Ontology, and Human Phenotype Ontology. The third part of the text introduces the major graph-based algorithms for bio-ontologies. The authors discuss how these algorithms are used in overrepresentation analysis, model-based procedures, semantic similarity analysis, and Bayesian networks for molecular biology and biomedical applications. With a focus on computational reasoning topics, the final part describes the ontology languages of the Semantic Web and their applications for inference. It covers the formal semantics of RDF and RDFS, OWL inference rules, a key inference algorithm, the SPARQL query language, and the state of the art for querying OWL ontologies. Web Resource Software and data designed to complement material in the text are available on the book's website: http: //bio-ontologies-book.org The site provides the R Robo package developed for the book, along with a compressed archive of data and ontology files used in some of the exercises. It also offers teaching/presentation slides and links to other relevant websites. This book provides readers with the foundation to use ontologies as a starting point for new bioinformatics research projects or to support current molecular genetics research projects. By supplying a self-contained introduction to OBO ontologies and the Semantic Web, it bridges the gap between both fields and helps readers see what each can contribute to the analysis and understanding of biomedical data.

Bio-Ontologies

Bio-Ontologies
Author: Bijan Parsia
Publisher: Wiley
Total Pages: 400
Release: 2013-03-25
Genre: Medical
ISBN: 9780470504963
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This invaluable book covers the opportunities and challenges in building HCLS ontologies and looks at state of the art and future opportunities. Primarily focused on OWL2, the most popular ontology language, it utilizes case studies to help illustrate lessons learned through concrete examples. The definitive guide for the design and use of expressive bio-ontologies compatible with the rapidly evolving Semantic Web, this book will be the go-to resource for practicing professionals and researchers in the field.

Biological Ontologies and Semantic Biology

Biological Ontologies and Semantic Biology
Author: John Hancock
Publisher: Frontiers Media SA
Total Pages: 107
Release: 2014-10-03
Genre: Biotechnology
ISBN: 2889192776
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As the amount of biological information and its diversity accumulates massively there is a critical need to facilitate the integration of this data to allow new and unexpected conclusions to be drawn from it. The Semantic Web is a new wave of web- based technologies that allows the linking of data between diverse data sets via standardised data formats (“big data”). Semantic Biology is the application of semantic web technology in the biological domain (including medical and health informatics). The Special Topic encompasses papers in this very broad area, including not only ontologies (development and applications), but also text mining, data integration and data analysis making use of the technologies of the Semantic Web. Ontologies are a critical requirement for such integration as they allow conclusions drawn about biological experiments, or descriptions of biological entities, to be understandable and integratable despite being contained in different databases and analysed by different software systems. Ontologies are the standard structures used in biology, and more broadly in computer science, to hold standardized terminologies for particular domains of knowledge. Ontologies consist of sets of standard terms, which are defined and may have synonyms for ease of searching and to accommodate different usages by different communities. These terms are linked by standard relationships, such as “is_a” (an eye “is_a” sense organ) or “part_of” (an eye is “part_of” a head). By linking terms in this way, more detailed, or granular, terms can be linked to broader terms, allowing computation to be carried out that takes these relationships into account.

Semantic Web

Semantic Web
Author: Christopher J. O. Baker
Publisher: Springer Science & Business Media
Total Pages: 449
Release: 2007-04-14
Genre: Science
ISBN: 0387484388
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This book introduces advanced semantic web technologies, illustrating their utility and highlighting their implementation in biological, medical, and clinical scenarios. It covers topics ranging from database, ontology, and visualization to semantic web services and workflows. The volume also details the factors impacting on the establishment of the semantic web in life science and the legal challenges that will impact on its proliferation.

Anatomy Ontologies for Bioinformatics

Anatomy Ontologies for Bioinformatics
Author: Albert Burger
Publisher: Springer Science & Business Media
Total Pages: 356
Release: 2007-12-20
Genre: Technology & Engineering
ISBN: 1846288851
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This book provides a timely and first-of-its-kind collection of papers on anatomy ontologies. It is interdisciplinary in its approach, bringing together the relevant expertise from computing and biomedical studies. The book aims to provide readers with a comprehensive understanding of the foundations of anatomical ontologies and the-state-of-the-art in terms of existing tools and applications. It also highlights challenges that remain today.

Data Mining in Biomedicine Using Ontologies

Data Mining in Biomedicine Using Ontologies
Author: Mihail Popescu
Publisher: Artech House
Total Pages: 279
Release: 2009
Genre: Medical
ISBN: 1596933712
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Presently, a growing number of ontologies are being built and used for annotating data in biomedical research. Thanks to the tremendous amount of data being generated, ontologies are now being used in numerous ways, including connecting different databases, refining search capabilities, interpreting experimental/clinical data, and inferring knowledge. This cutting-edge resource introduces you to latest developments in bio-ontologies. The book provides you with the theoretical foundations and examples of ontologies, as well as applications of ontologies in biomedicine, from molecular levels to clinical levels. You also find details on technological infrastructure for bio-ontologies. This comprehensive, one-stop volume presents a wide range of practical bio-ontology information, offering you detailed guidance in the clustering of biological data, protein classification, gene and pathway prediction, and text mining. More than 160 illustrations support key topics throughout the book.

Ontologies for Bioinformatics

Ontologies for Bioinformatics
Author: Kenneth Baclawski
Publisher:
Total Pages: 448
Release: 2006
Genre: Computers
ISBN:
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Ontologies as a critical framework for the vast amounts of data in the postgenomic era: an introduction to the basic concepts and applications of ontologies and ontology languages for the life sciences. 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.

Role and Application of Ontology Design Patterns in Bio-Ontologies

Role and Application of Ontology Design Patterns in Bio-Ontologies
Author: Mikel Egaña Aranguren
Publisher: LAP Lambert Academic Publishing
Total Pages: 184
Release: 2010-11
Genre:
ISBN: 9783843376617
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Knowledge Representation (KR) languages such as OWL (Web Ontology Language), offer the possibility of computationally exploiting biological knowledge, by codifying it in the axioms of bio-ontologies. Bio-ontologies are widely used in life sciences for knowledge management. Knowledge is, however, often represented in bio-ontologies without following rigorous principles of modelling and the resulting bio-ontologies are axiomatically lean. Therefore knowledge cannot be fully computationally exploited. A solution is provided by the use of Ontology Design Patterns (ODPs). ODPs are thoroughly documented and efficient solutions for recurrent problems encountered when building ontologies. In order for ODPs to be efficiently accessed by bio-ontologists, an online catalogue of ODPs has been created. Such ODPs can be applied automatically with the Ontology PreProcessor Language (OPPL). The infrastructure for applying ODPs formed by the catalogue and OPPL has been used for applying ODPs in bio-ontologies like the Cell Type Ontology. The results of such application have been evaluated to assess the applied ODPs and the change on ontology quality.

The Gene Ontology Handbook

The Gene Ontology Handbook
Author: Christophe Dessimoz
Publisher:
Total Pages: 298
Release: 2020-10-08
Genre: Science
ISBN: 9781013267710
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This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.