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Towards a semantic web for bioinformatics using ontology-based annotation
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
2005 (English)In: 14th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises,2005, Institute of Electrical and Electronics Engineers (IEEE), 2005, 3-7 p.Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, biologists use biological data sources and tools to find relevant information for their research. However, with the explosion of the amount of online accessible data and tools, finding the relevant sources and retrieving the relevant information is not an easy task. Further, often information from different sources needs to be integrated. The vision of a Semantic Web alleviates these difficulties. The Semantic Web is an extension of the current Web in which information is given a well-defined meaning by annotating Web content with ontology terms. In this paper we discuss the Semantic Web vision and focus on an important technology, ontologies, that is needed to make this vision happen.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2005. 3-7 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-28718DOI: 10.1109/WETICE.2005.58ISI: 000233636900001Local ID: 13887ISBN: 0769523625 (print)OAI: oai:DiVA.org:liu-28718DiVA: diva2:249530
Conference
14th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises,2005
Note

Invited paper.

Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2016-12-06Bibliographically approved

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Lambrix, Patrick

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf