• 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