DocumentCode
2580993
Title
Extracting Metadata from Biological Experimental Data
Author
Al-Daihani, Badr ; Gray, Alex ; Kille, Peter
Author_Institution
Sch. of Comput. Sci., Cardiff Univ., Wales
fYear
0
fDate
0-0 0
Firstpage
216
Lastpage
222
Abstract
The process of automatically extracting metadata from an experiment´s dataset is an important stage in efficiently integrating this dataset with data available in public bioinformatics data sources. Metadata extracted from the experiment´s dataset can be stored in databases and used to verify data extracted from other experiments´ datasets. Moreover, the biologist can keep track of the dataset so that it can be easily retrieved next time. The extracted metadata can be mined to discover useful knowledge as well as integrated with other information using domain ontology to reveal hidden relationships. The experiment´s dataset may contain several kinds of metadata that can be used to add semantic value to linked data. This paper describes an approach for extracting metadata from an experiment´s dataset. This system has been used in a preliminary investigation of aging across species
Keywords
biology computing; data mining; information retrieval; meta data; ontologies (artificial intelligence); automatic metadata extraction; biological experimental data; data extraction; data mining; data retrieval; database; domain ontology; experiment dataset; knowledge discovery; public bioinformatics data source; Aging; Bioinformatics; Biological cells; Biology computing; Biotechnology; Data mining; Databases; Gene expression; Information retrieval; Ontologies;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
Conference_Location
Krakow
ISSN
1529-4188
Print_ISBN
0-7695-2641-1
Type
conf
DOI
10.1109/DEXA.2006.58
Filename
1698338
Link To Document