Building Ontologies in DAML + OIL

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2003/01/01
  • Indian UGC (journal)
  • Refrences
    17
  • Citations
    8
  • Robert Stevens Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  • Chris Wroe Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  • Sean Bechhofer Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  • Phillip Lord Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  • Alan Rector Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  • Carole Goble Department of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL, UK
Abstract
Cite
Stevens, Robert, et al. “Building Ontologies in DAML + OIL”. Comparative and Functional Genomics, vol. 4, no. 1, 2003, pp. 133-41, https://doi.org/10.1002/cfg.233.
Stevens, R., Wroe, C., Bechhofer, S., Lord, P., Rector, A., & Goble, C. (2003). Building Ontologies in DAML + OIL. Comparative and Functional Genomics, 4(1), 133-141. https://doi.org/10.1002/cfg.233
Stevens R, Wroe C, Bechhofer S, Lord P, Rector A, Goble C. Building Ontologies in DAML + OIL. Comparative and Functional Genomics. 2003;4(1):133-41.
Refrences
Title Journal Journal Categories Citations Publication Date
Gene Ontology: tool for the unification of biology Nature Genetics
  • Science: Biology (General): Genetics
  • Science: Biology (General): Genetics
24,974 2000
MedInfo 2001 Studies in Health Technology and Informatics 2001
MedInfo 2001 Studies in Health Technology and Informatics 2001
The Description Logic Handbook: Theory, Implementation and Applications 2003
International Statistical Classification of Diseases and Related Health Problems 1992
Citations
Title Journal Journal Categories Citations Publication Date
Cells in experimental life sciences - challenges and solution to the rapid evolution of knowledge BMC Bioinformatics
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
  • Technology: Chemical technology: Biotechnology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
1 2017
A Study on Ontology Modeling for Weapon Parts Development Information Journal of Korea Multimedia Society 1 2015
Food Ontology Model for a Healthcare Service Journal of the Korea Industrial Information Systems Research 1 2012
A medical ontology for intelligent web-based skin lesions image retrieval

Health Informatics Journal
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Medicine: Medicine (General)
6 2011
Ontological techniques for reuse and sharing knowledge in digital museums The Electronic Library
  • Bibliography. Library science. Information resources
  • Bibliography. Library science. Information resources: Information resources (General)
  • Social Sciences
12 2006
Citations Analysis
The category Medicine: Medicine (General): Computer applications to medicine. Medical informatics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Standards and Ontologies for Functional Genomics: Towards Unified Ontologies for Biology and Biomedicine and was published in 2003. The most recent citation comes from a 2017 study titled Cells in experimental life sciences - challenges and solution to the rapid evolution of knowledge. This article reached its peak citation in 2017, with 1 citations. It has been cited in 7 different journals, 28% of which are open access. Among related journals, the Comparative and Functional Genomics cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year