Inferring Relations and Annotations in Semantic Networks Application to Radiology

Authors

  • Lionel Ramadier LIRMM, 161, rue Ada 34095 Montpellier. IMAIOS, MIBI, 672, rue du mas de Verchant
  • Manel Zarrouk LIRMM, 161, rue Ada 34095 Montpellier.
  • Mathieu Lafourcade LIRMM, 161, rue Ada 34095 Montpellier
  • Antoine Micheau IMAIOS, MIBI, 672, rue du mas de Verchant

DOI:

https://doi.org/10.13053/cys-18-3-2024

Keywords:

Relation inference, lexical semantic network, relation annotation, radiology.

Abstract

Domain specific ontologies are invaluable despite many challenges associated with their development. In most cases, domain knowledge bases are built with very limited scope without considering the benefits of plunging domain knowledge to a general ontology. Furthermore, most existing resources lack meta-information about association strength (weights) and annotations (frequency information like frequent, rare ... or relevance information like pertinent or irrelevant). In this paper, we are presenting a semantic resource for radiology built over an existing general semantic lexical network (JeuxDeMots). This network combines weight and annotations on typed relations between terms and concepts. Some inference mechanisms are applied to the network to improve its quality and coverage. We extend this mechanism to relation annotation. We describe how annotations are handled and how they improve the network by imposing new constraints especially those founded on medical knowledge.

Author Biographies

Lionel Ramadier, LIRMM, 161, rue Ada 34095 Montpellier. IMAIOS, MIBI, 672, rue du mas de Verchant

Lionel Ramadier Is a PhD student at University Montpellier 2 (France) and makes research in Natural Language Processing applied at the medical domain at the TEXTE team of LIRMM (Laboratoire d’Informatique, de Robotique, et de Microélectronique de Montpellier). He Works also at IMAIOS a website company specialized in medical e-learning and anatomy

Manel Zarrouk, LIRMM, 161, rue Ada 34095 Montpellier.

Manel Zarrouk Is a PhD student at University Montpellier 2 (France) and makes research in Natural Language Processing at the TEXTE team of LIRMM (Laboratoire d’Informatique, de Robotique, et de Microélectronique de Montpellier). Her research interests are inferences of schemas and rules in large lexico-semantic networks, consolidation and evaluation of lexical resources for semantic analysis.

Mathieu Lafourcade, LIRMM, 161, rue Ada 34095 Montpellier

Mathieu Lafourcade Is associate professor at University Montpellier2 (France) and the head of the TEXTE team of LIRMM. His research interests are semantic analysis with bioinspired approaches (Ant Colony Algorithm), lexical semantics with large knowledge networksand vector models, lexical acquisition through contributive system like games with a purpose. M Lafourcade is the inventor of the JeuxDeMots project

Antoine Micheau, IMAIOS, MIBI, 672, rue du mas de Verchant

Antoine Micheau Was born in 1977. He received his MD degree in 2007 from the university of Montpellier. He is also the cofounder of IMAIOS a website company specialized in medical e-learning and anatomy.

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Published

2014-09-29

Issue

Vol. 18 No. 3 (2014): 18(3) 2014 Thematic issue: Computational linguistics (Guest editor: Alexander Gelbukh)

Section

Articles

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