| contributor author | Vandevenne, Dennis | |
| contributor author | Verhaegen, Paul | |
| contributor author | Duflou, R. Joost | |
| date accessioned | 2017-05-09T01:10:46Z | |
| date available | 2017-05-09T01:10:46Z | |
| date issued | 2014 | |
| identifier issn | 1050-0472 | |
| identifier other | md_136_11_111104.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/155712 | |
| description abstract | More and more approaches for systematic biologically inspired design (BID) aim to scalably leverage large biological databases. To support the scalable systematic BID process, an automated method for mention and focus organism (FO) detection in biological strategy documents is proposed and validated to perform with 85% precision and 81% recall. Furthermore, a number of potential applications of mention and FO detection are presented, and the biodiversity of two corpora is measured. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Mention and Focus Organism Detection and Their Applications for Scalable Systematic Bio Ideation Tools | |
| type | Journal Paper | |
| journal volume | 136 | |
| journal issue | 11 | |
| journal title | Journal of Mechanical Design | |
| identifier doi | 10.1115/1.4028278 | |
| journal fristpage | 111104 | |
| journal lastpage | 111104 | |
| identifier eissn | 1528-9001 | |
| tree | Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 011 | |
| contenttype | Fulltext | |
