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ELISA - Evolution of Semantic Annotations

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  • ELISA - Evolution of Semantic Annotations

Duration

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Description

The new research project “ELISA - Evolution of Semantic Annotations” is a collaborative project between the Luxembourg Institute of Science and Technology (LIST), the University of Paris-Sud, and the Database Group, Universität Leipzig. ELISA is granted by the German Research Foundation (DFG) and the National Research Fund Luxembourg (FNR). The project aims at the development and evaluation of new methods for creating and maintaining semantic annotations.

Link to ELISA website

Project Objectives:

The use of ontologies has shown great possibilities to tackle semantic interoperability issues in the medical domain. Often ontology elements are used to annotate information in order to make their semantics explicit for machines and to facilitate the retrieval of the annotated information. However, the medical domain is highly dynamic by nature. Since 50% of the knowledge of this field is renewed every 10 years, the content of ontologies, representing this knowledge, has to smoothly follow the evolution of the domain to remain exploitable by underlying software applications. As a consequence, the modifications made in these ontologies must also be propagated to all elements that depend on them, such as ontology-based semantic annotations.

In this context, ELISA will develop innovative concepts and tools to:

  • understand the quality of annotations through manual and automatic annotation processes,
  • identify and characterize the evolution occurring in ontologies, and
  • exploit this information to define algorithms to maintain semantic annotations affected by ontology evolution.

Two cases will be distinguished:

  • direct migration of the annotation in the case where those are modifiable, and
  • an ad-hoc migration process in the case where annotations are not modifiable. This will be done through the design of a query enrichment mechanism reflecting the evolution of ontology in order to keep annotated data searchable over time.

The proposed technology will help companies in managing the ever-increasing quantity of data they have to deal with. Moreover, it will be implemented in two real cases borrowed from the field of life sciences. First, we plan to apply our maintenance approach to annotations that serve to enrich patient data in the Luxembourgish national health platform. Second, we will investigate the semantic annotation maintenance problem that arises from the annotation of Case Report Forms used in clinical trial research.

Project Overview

ELISA project overview

DFG: ELISA - Evolution of Semantic Annotations - Grant RA 497/22-1

Project members

  • Prof. Dr. Erhard Rahm
  • Prof. Dr. Anika Groß
  • Dr. Victor Christen
  • Dr. Ying-Chi Lin

Partner

  • Dr. Cédric Pruski
  • Dr. Marcos Da Silveira
  • Silvio Domingos Cardoso

The website of ELISA project in LIST (ELISA in LIST)

group picture of the kickoff meeting

(Dr. Cédric Pruski, Ying-Chi Lin, Dr. Marcos Da Silveira, Dr. Anika Groß, Prof. Dr. Erhard Rahm, Victor Christen, Silvio Domingos Cardoso)

Awards

We are happy to announce that our most recent paper of the project has won the Best Paper Award in the HEALTHINF 2021. Please see the announcement here:

  • 🍾🍾🍾 HEALTHINF 2021 Best Paper Award

Publikationen (18)

Dateien Cover Beschreibung Jahr
Management of Evolving Semantic Grid Metadata Within a Collaborative Platform
Hartung, M. ; Loebe, F. ; Herre, H. ; Rahm, E.
Information Sciences, Volume 180, Issue 10, 15 May 2010, Pages 1837-1849
2010 / 5
OnEX: Exploring changes in life science ontologies
Hartung, M. ; Kirsten, T. ; Groß, A. ; Rahm, E.
BMC Bioinformatics 2009, 10:250 <img src=\"http://www.biomedcentral.com/bmcimages/browse/highlyaccessed.gif\">
2009 / 8
Exploring changes in life science ontologies with OnEX
Hartung, M. ; Kirsten, T. ; Groß, A. ; Rahm, E.
Poster at 7th Leipzig Research Festival for Life Sciences 2008 and 6th Intl. Workshop on Data Integration in the Life Sciences (DILS) 2009
2009 / 7
Estimating the Quality of Ontology-based Annotations by Considering Evolutionary Changes
Groß, A. ; Hartung, M. ; Kirsten, T. ; Rahm, E.
Proc. 6th Data Integration in the Life Sciences (DILS) Conf., Springer LNCS 5647, 2009
2009 / 7
An Evolution-based Approach for Assessing Ontology Mappings - A Case Study in the Life Sciences
Thor, A. ; Hartung, M. ; Groß, A. ; Kirsten, T. ; Rahm, E.
Proc. of 13. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web (BTW), 2009
2009 / 3
Evolution-based analysis of functional protein annotation
Groß, A. ; Hartung, M. ; Kirsten, T. ; Rahm, E.
Poster at 7th Leipzig Research Festival for Life Sciences 2008
2008 / 12
Analyzing the Evolution of Life Science Ontologies and Mappings
Hartung, M. ; Kirsten, T. ; Rahm, E.
Proc. of 5th Int. Workshop on Data Integration in the Life Sciences (DILS), Springer LNCS 5109, 2008
2008 / 6
Management von Ontologien in den Lebenswissenschaften
Hartung, M.
Tagungsband zum 20. GI-Workshop über Grundlagen von Datenbanken (20th GI-Workshop on the Foundations of Databases), Apolda (Thüringen)
2008 / 5

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