Publikation: Teil einer Monographie/eines Konferenzbandes

Towards enhanced retrieval of biological models through annotation-based ranking

Grunddaten
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Towards enhanced retrieval of biological models through annotation-based ranking
Veröffentlicht in	Data integration in the life sciences : 6th international workshop, DILS 2009, Manchester, UK, July 20-22, 2009 ; proceedings. - Berlin [u.a.]: Springer
Erscheinungsjahr	2009
Seiten (von – bis)	204 – 219
Jahr	2009
Publikationsform	Druckschrift
Publikationsart	Teil einer Monographie/eines Konferenzbandes
Sprache	Englisch
Letzte Änderung	17.05.2019 15:40:47
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/31889
Links zu Katalogen

Abstract

Modelling and simulation methods gain increasing importance for the understanding of biological systems. The growing number of available computational models makes support in maintenance and retrieval of those models essential to the community. This article discusses which model information are helpful for efficient retrieval and how existing similarity measures and ranking techniques can be used to enhance the retrieval process, i. e. the model reuse. With the development of new tools and modelling formalisms, there also is an increasing demand for performing search independent of the models’ encoding. Therefore, the presented approach is not restricted to certain model storage formats. Instead, the model meta-information is used for retrieval and ranking of the search result. Meta-information include general information about the model, its encoded species and reactions, but also information about the model behaviour and related simulation experiment descriptions.

Autoren

Köhn, Dagmar

Maus, Carsten

Henkel, Ron

Kolbe, Martin

Einrichtung

IEF/Bereich Informatik