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Oyster: A Tool for Fine-Grained Ontological Annotations in Free-Text

  • Conference paper
  • First Online:
Information Retrieval Technology (AIRS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9460))

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Abstract

Oyster is a web-based annotation tool that allows users to annotate free-text with respect to concepts defined in formal knowledge resources such as large domain ontologies. The tool has been explicitly designed to provide (manual and automatic) search functionalities to identify the best concept entities to be used for annotation. In addition, Oyster supports features such as annotations that span across non-adjacent tokens, multiple annotations per token, the identification of entity relationships and a user-friendly visualisation of the annotation including the use of filtering based on annotation types. Oyster is highly configurable and can be expanded to support a variety of knowledge resources. The tool can support a wide range of tasks involving human annotation, including named-entity extraction, relationship extraction, annotation correction and refinement.

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Notes

  1. 1.

    http://knowtator.sourceforge.net/.

  2. 2.

    http://mmax.eml-research.de/.

  3. 3.

    http://gate.ac.uk/.

  4. 4.

    Note that this is only feasible in the Firefox browser as other browsers do not support multiple selections.

References

  1. McBride, S., Lawley, M., Leroux, H., Gibson, S.: Using australian medicines terminology (AMT) and snomed CT-AU to better support clinical research. Stud. Health Technol. Inform. 178, 144–149 (2012)

    Google Scholar 

  2. Stenetorp, P., Pyysalo, S., Topić, G., Ohta, T., Ananiadou, S., Tsujii, J.: BRAT: a web-based tool for NLP-assisted text annotation. In: Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, pp. 102–107. Association for Computational Linguistics (2012)

    Google Scholar 

  3. Morton, T., LaCivita, J.: Wordfreak: an open tool for linguistic annotation. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, vol. 4, pp. 17–18. University of Pennsylvania (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Australian E-Health Research Centre (CSIRO), Herston, Australia

    Hamed Tayebikhorami, Alejandro Metke-Jimenez & Anthony Nguyen

  2. Queensland University of Technology, Brisbane, Australia

    Hamed Tayebikhorami & Guido Zuccon

Authors
  1. Hamed Tayebikhorami
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  2. Alejandro Metke-Jimenez
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  3. Anthony Nguyen
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  4. Guido Zuccon
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Corresponding author

Correspondence to Hamed Tayebikhorami .

Editor information

Editors and Affiliations

  1. Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia

    Guido Zuccon

  2. Brisbane, Queensland, Australia

    Shlomo Geva

  3. University of Tsukuba, Ibaraki, Japan

    Hideo Joho

  4. RMIT University, Melbourne, Australia

    Falk Scholer

  5. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Aixin Sun

  6. Tianjin University, China

    Peng Zhang

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Tayebikhorami, H., Metke-Jimenez, A., Nguyen, A., Zuccon, G. (2015). Oyster: A Tool for Fine-Grained Ontological Annotations in Free-Text. In: Zuccon, G., Geva, S., Joho, H., Scholer, F., Sun, A., Zhang, P. (eds) Information Retrieval Technology. AIRS 2015. Lecture Notes in Computer Science(), vol 9460. Springer, Cham. https://doi.org/10.1007/978-3-319-28940-3_39

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  • DOI: https://doi.org/10.1007/978-3-319-28940-3_39

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28939-7

  • Online ISBN: 978-3-319-28940-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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