| Chapter title |
Semantic Technologies and Bio-Ontologies
|
|---|---|
| Chapter number | 6 |
| Book title |
Bioinformatics in MicroRNA Research
|
| Published in |
Methods in molecular biology, May 2017
|
| DOI | 10.1007/978-1-4939-7046-9_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7044-5, 978-1-4939-7046-9
|
| Authors |
Fernando Gutierrez |
| Editors |
Jingshan Huang, Glen M. Borchert, Dejing Dou, Jun (Luke) Huan, Wenjun Lan, Ming Tan, Bin Wu |
| Abstract |
As information available through data repositories constantly grows, the need for automated mechanisms for linking, querying, and sharing data has become a relevant factor both in research and industry. This situation is more evident in research fields such as the life sciences, where new experiments by different research groups are constantly generating new information regarding a wide variety of related study objects. However, current methods for representing information and knowledge are not suited for machine processing. The Semantic Technologies are a set of standards and protocols that intend to provide methods for representing and handling data that encourages reusability of information and is machine-readable. In this chapter, we will provide a brief introduction to Semantic Technologies, and how these protocols and standards have been incorporated into the life sciences to facilitate dissemination and access to information. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Researcher | 1 | 9% |
| Student > Master | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 27% |
| Chemical Engineering | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unknown | 6 | 55% |