1 Search Results for "Pickersgill, Laura"

Document

Ontology learning with text mining: Two use cases in lipoprotein metabolism and toxicology

Authors: Dimitra Alexopoulou, Thomas Wächter, Laura Pickersgill, Cecilia Eyre, and Michael Schroeder

Published in: Dagstuhl Seminar Proceedings, Volume 8131, Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives (2008)

Abstract

Background: The engineering of ontologies, especially with a view to a text-mining use, is still a new research field. There does not yet exist a well-defined theory and technology for ontology construction. Many of the ontology design steps remain manual and are based on personal experience and intuition. However, there exist a few efforts on automatic construction of ontologies in the form of extracted lists of terms and relations between them. Results: We share experience acquired during the manual development of a lipoprotein metabolism ontology (LMO) to be used for text-mining. We compare the manually created ontology terms with the automatically derived terminology from four different automatic term recognition methods. The top 50 predicted terms contain up to 89% relevant terms. For the top 1000 terms the best method still generates 51% relevant terms. In a corpus of 3066 documents 53% of LMO terms are contained and 38% can be generated with one of the methods. Secondly we present a use case for ontology-based search for toxicological methods. Conclusions: Given high precision, automatic methods can help decrease development time and provide significant support for the identification of domain-specific vocabulary. The coverage of the domain vocabulary depends strongly on the underlying documents. Ontology development for text mining should be performed in a semi-automatic way; taking automatic term recognition results as input. Availability: The automatic term recognition method is available as web service, described at http://gopubmed4.biotec.tu- dresden.de/IdavollWebService/services/CandidateTermGeneratorService?wsdl

Cite as

Dimitra Alexopoulou, Thomas Wächter, Laura Pickersgill, Cecilia Eyre, and Michael Schroeder. Ontology learning with text mining: Two use cases in lipoprotein metabolism and toxicology. In Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives. Dagstuhl Seminar Proceedings, Volume 8131, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

Copy BibTex To Clipboard

@InProceedings{alexopoulou_et_al:DagSemProc.08131.12,
  author =	{Alexopoulou, Dimitra and W\"{a}chter, Thomas and Pickersgill, Laura and Eyre, Cecilia and Schroeder, Michael},
  title =	{{Ontology learning with text mining: Two use cases in lipoprotein metabolism and toxicology}},
  booktitle =	{Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8131},
  editor =	{Michael Ashburner and Ulf Leser and Dietrich Rebholz-Schuhmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08131.12},
  URN =		{urn:nbn:de:0030-drops-15063},
  doi =		{10.4230/DagSemProc.08131.12},
  annote =	{Keywords: Automatic Term Recognition, Ontology Learning, Lipoprotein Metabolism}
}

Refine by Author
1 Alexopoulou, Dimitra
1 Eyre, Cecilia
1 Pickersgill, Laura
1 Schroeder, Michael
1 Wächter, Thomas

Refine by Classification

Refine by Keyword
1 Automatic Term Recognition
1 Lipoprotein Metabolism
1 Ontology Learning

Refine by Type
1 document

Refine by Publication Year
1 2008

1 Search Results for "Pickersgill, Laura"

Ontology learning with text mining: Two use cases in lipoprotein metabolism and toxicology

Abstract

Cite as

Thanks for your feedback!

Could not send message