Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Martin Glauer"'
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-20 (2021)
Abstract Chemical data is increasingly openly available in databases such as PubChem, which contains approximately 110 million compound entries as of February 2021. With the availability of data at such scale, the burden has shifted to organisation,
Externí odkaz:
https://doaj.org/article/409ce7845df04a41a7f2ef94ba45e76a
Autor:
Meisam Booshehri, Lukas Emele, Simon Flügel, Hannah Förster, Johannes Frey, Ulrich Frey, Martin Glauer, Janna Hastings, Christian Hofmann, Carsten Hoyer-Klick, Ludwig Hülk, Anna Kleinau, Kevin Knosala, Leander Kotzur, Patrick Kuckertz, Till Mossakowski, Christoph Muschner, Fabian Neuhaus, Michaja Pehl, Martin Robinius, Vera Sehn, Mirjam Stappel
Publikováno v:
Energy and AI, Vol 5, Iss , Pp 100074- (2021)
Heterogeneous data, different definitions and incompatible models are a huge problem in many domains, with no exception for the field of energy systems analysis. Hence, it is hard to re-use results, compare model results or couple models at all. Onto
Externí odkaz:
https://doaj.org/article/73065595b4324173a98f2b649e5aabf1
Publikováno v:
Semantic Web. :1-22
Reference ontologies provide a shared vocabulary and knowledge resource for their domain. Manual construction and annotation enables them to maintain high quality, allowing them to be widely accepted across their community. However, the manual ontolo
Autor:
Klara Reder, Mirjam Stappel, Christian Hofmann, Hannah Förster, Lukas Emele, Ludwig Hülk, Martin Glauer
Publikováno v:
International Journal of Sustainable Energy Planning and Management, Vol 25 (2020)
Energy scenarios assist decision making regarding the transformation of the energy supply system. A multitude of scenarios exists in various formats. Thus, for scientists and policy stakeholders alike, it remains difficult to distinguish and compare
Externí odkaz:
https://doaj.org/article/c60364ac0fdb4076a3015d021bfe888a
Supplementary data for our submission "Interpretable Ontology Extension in Chemistry". We present an approach towards ontology extension that uses structural information to train a transformer-based model that predicts new subsumption relations. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a67d013674c48884312f085b62c9d54
Autor:
Hannah Förster, Ulrich J. Frey, Christian Hofmann, Lukas Emele, Johannes Frey, Carsten Hoyer-Klick, Anna Kleinau, Simon Flügel, Christoph Muschner, Till Mossakowski, Michaja Pehl, Patrick Kuckertz, Meisam Booshehri, Ludwig Hülk, Martin Robinius, Janna Hastings, Vera Sehn, Mirjam Stappel, Fabian Neuhaus, Leander Kotzur, Martin Glauer, Kevin Knosala
Publikováno v:
Energy and AI 5, 100074-(2021). doi:10.1016/j.egyai.2021.100074
Energy and AI, Vol 5, Iss, Pp 100074-(2021)
Energy and AI, Vol 5, Iss, Pp 100074-(2021)
Heterogeneous data, different definitions and incompatible models are a huge problem in many domains, with no exception for the field of energy systems analysis. Hence, it is hard to re-use results, compare model results or couple models at all. Onto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3488652f7b667d9ad5b433c2ee1defbc
https://doi.org/10.1016/j.egyai.2021.100074
https://doi.org/10.1016/j.egyai.2021.100074
Publikováno v:
Journal of Cheminformatics
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-20 (2021)
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-20 (2021)
Chemical data is increasingly openly available in databases such as PubChem, which contains more than 110 million compound entries as of October 2020. With the availability of data at such scale, the burden has shifted to organisation, analysis and i
Publikováno v:
HICSS
Neural assemblies are supposed to play an important role in the de- and encoding of information and stimuli in the brain. These groups of neurons are representing information by increased synchronous behavior. Spike trains are abstractions of recordi
Publikováno v:
Fundamental Approaches to Software Engineering ISBN: 9783662466742
FASE
FASE
We present an institution for UML state machines without hierarchical states. The interaction with UML class diagrams is handled via institutions for guards and actions, which provide dynamic components of states such as valuations of attributes but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a04da89de140f64a856557514b8193d
https://cronfa.swan.ac.uk/Record/cronfa28354/Download/0028354-27052016151815.pdf
https://cronfa.swan.ac.uk/Record/cronfa28354/Download/0028354-27052016151815.pdf
Autor:
Neuhaus, Fabian1 (AUTHOR) fneuhaus@ovgu.de
Publikováno v:
Applied Ontology. 2023, Vol. 18 Issue 4, p399-407. 9p.