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 :
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