By Mihail Popescu, Dong Xu
An ontology is a suite of vocabulary phrases with explicitly acknowledged meanings and family members with different phrases. almost immediately, an increasing number of ontologies are being outfitted and used for annotating info in biomedical learn. due to the large volume of information being generated, ontologies are actually getting used in different methods, together with connecting varied databases, refining seek functions, studying experimental/clinical info, and inferring wisdom. This state of the art source introduces researchers to most up-to-date advancements in bio-ontologies. The e-book presents the theoretical foundations and examples of ontologies, in addition to purposes of ontologies in biomedicine, from molecular degrees to scientific degrees. Readers additionally locate info on technological infrastructure for bio-ontologies. This accomplished, one-stop quantity offers quite a lot of sensible bio-ontology info, supplying execs distinct suggestions within the clustering of organic facts, protein class, gene and pathway prediction, and textual content mining.
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Additional info for Data mining in biomedicine using ontologies
The distance between zebra and horse is also 2 since their common parent is equine. Intuitively, one would judge zebra and horse as more closely related than plant and animal. Solely counting links between nodes is not sufficient. To overcome this limitation of equal-distance edges, numerous researchers proposed various methods to weight each edge. 1. Instead of focusing on distance approaches with adjusted edge weights, other research examined the use of the information content of the concepts in an ontology .
22) Dice’s coefficient is the basis for both the Wu-Palmer measure and the Lin measure.
Ontological similarity measures evolved from the early semantic similarity measures based on the use of semantic networks . Determining the semantic similarity between lexical words has a long history in philosophy, psychology, and artificial intelligence. Syntactics refers to the characteristics of a sentence, while semantics is the study of the meanings of linguistic expressions. A primary motivation for measuring semantic similarity comes from natural-language processing (NLP) applications, such as word sense disambiguation, text summarization and annotation, information extraction and retrieval, 23 24 Ontological Similarity Measures automatic indexing, and lexical selection .