Logo des Repositoriums

Auflistung nach Autor:in "Colmsee, Christian"

1 - 3 von 3
  • Konferenzbeitrag
    Datenaustausch und Datenintegration zur Modellierung und Analyse metabolischer Netzwerke am Beispiel von Kulturpflanzen
    (Informatik 2009 – Im Focus das Leben, 2009) Weise, Stephan; Colmsee, Christian; Grafahrend-Belau, Eva; Junker, Björn; Klukas, Christian; Lange, Matthias; Scholz, Uwe; Schreiber, Falk
  • Konferenzbeitrag
    Improving search results in life science by recommendations based on semantic information
    (Datenbanksysteme für Business, Technologie und Web (BTW 2015) - Workshopband, 2015) Colmsee, Christian; Chen, Jinbo; Schneider, Kerstin; Scholz, Uwe; Lange, Matthias
    The management and handling of big data is a major challenge in the area of life science. Beside the data storage, information retrieval methods have to be adapted to huge data amounts as well. Therefore we present an approach to improve search results in life science by recommendations based on semantic information. In detail we determine relationships between documents by searching for shared database IDs as well as ontology identifiers. We have established a pipeline based on Hadoop allowing a distributed computation of large amounts of textual data. A comparison with the widely used cosine similarity has been performed. Its results are presented in this work as well.
  • Konferenzbeitrag
    OPTIMAS-DW, MetaCrop and VANTED: A case study for data integration, curation and visualisation in life sciences
    (INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013) Colmsee, Christian; Czauderna, Tobias; Grafahrend-Belau, Eva; Hartmann, Anja; Lange, Matthias; Mascher, Martin; Weise, Stephan; Scholz, Uwe; Schreiber, Falk
    Since the data volume in life sciences has been growing exponentially in recent years, it is indispensable to develop databases and tools for efficient data integration, curation and visualisation. Focusing on data handling in crop plant research, this paper presents an approach, which combines (i) a data warehouse (OPTIMAS-DW) for integrating experimental data, (ii) an information system (MetaCrop) for manually curated biochemical pathways, and (iii) a visualisation software (VANTED) for integrated data visualisation. The functionality and usability of the concept will be illustrated by a use case.