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Title:

HOMER - HPMC tool for Ontology-based Metadata Extraction and Re-use.

Document type:
Forschungsdaten
Publication date:
25.01.2023
Responsible:
Farnbacher, Benjamin
Authors:
Hoppe, Nils ; Chiapparino, Giuseppe ; Farnbacher, Benjamin ; Ralev, Radoslav ; Stemmer, Christian
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2022mp1694401.001
Concept DOI:
doi:10.14459/2022mp1694401
End date of data production:
18.01.2023
Subject area:
DAT Datenverarbeitung, Informatik; MAS Maschinenbau; MTA Technische Mechanik, Technische Thermodynamik, Technische Akustik
Other subject areas:
Research Data Management
Resource type:
Logfiles und Nutzungsdaten / log files and usage data
Other resource types:
Python code
Data type:
Programme und Anwendungen / software and applications
Description:
HOMER is a python-written metadata crawler that allows to automatically retrieve relevant research metadata from script-based workflows on HPC systems. The tool offers a flexible approach to metadata collection, as the metadata scheme can be read out from an ontology file.
Method of data assessment:
Versioned entity of the research software developed by the Chair of Aerodynamics and Fluid Mechanics at Technical University of Munich.
Links:
Updates are continuously released at https://gitlab.lrz.de/nfdi4ing/crawler
Key words:
Research Data Management, Metadata, HPMC, Ontology
Technical remarks:
View and download (9 MB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1694401.001):
rsync rsync://m1694401.001@dataserv.ub.tum.de/m1694401.001/
Language:
en
Other rights:
GNU GPLv3 (or newer)
 BibTeX