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

part I|2 pages

Basic Concepts

chapter 2|30 pages

Mathematical Logic and Inference

chapter 4|46 pages

Ontology Languages

part II|2 pages


chapter 5|24 pages

The Gene Ontology

chapter 6|14 pages

Upper-Level Ontologies

chapter 7|26 pages

A Selective Survey of Bio-Ontologies

part III|2 pages

Graph Algorithms for Bio-Ontologies

chapter 8|38 pages

Overrepresentation Analysis

chapter 9|18 pages

Model-Based Approaches to GO Analysis

chapter 10|24 pages

Semantic Similarity

part IV|2 pages

Inference in Ontologies

chapter 12|12 pages

Inference in the Gene Ontology

chapter 13|24 pages

RDFS Semantics and Inference

chapter 14|18 pages

Inference in OWL Ontologies

chapter 16|18 pages


part |2 pages


chapter |18 pages

A An Overview of R

chapter |4 pages

B Information Content and Entropy

chapter C|28 pages

W3C Standards: XML, URIs, and RDF

chapter |30 pages

D W3C Standards: OWL