Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Nadine Steinmetz"'
Publikováno v:
PLoS ONE, Vol 15, Iss 1, p e0228047 (2020)
The fitness and virulence of parasites is often determined by how many resources they can wrangle out of their hosts. Host defenses that help to keep resources from the parasites will then reduce virulence and parasite fitness. Here, we study whether
Externí odkaz:
https://doaj.org/article/1d46f8ae54dd4f9c9e2d30bdf81f1cc0
Autor:
Nadine Steinmetz
Publikováno v:
The Semantic Web ISBN: 9783031334542
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fb808d7182a42cc539fcfe9302d375a
https://doi.org/10.1007/978-3-031-33455-9_8
https://doi.org/10.1007/978-3-031-33455-9_8
Autor:
Derek S. Sikes, Volker Nehring, Petra Haftaro, Anne-Katrin Eggert, Nadine Steinmetz, Julia Baumann, Wenbe Hwang, Martin Nave, Wayne Knee, Julia Canitz
Publikováno v:
Molecular Ecology. 31:658-674
Coevolution is often considered a major driver of speciation, but evidence for this claim is not always found because diversity might be cryptic. When morphological divergence is low, molecular data are needed to uncover diversity. A taxon for which
Autor:
Nadine Steinmetz, Kai-Uwe Sattler
Publikováno v:
Journal on Data Semantics. 10:241-265
Question Answering based on Knowledge Graphs (KGQA) still faces difficult challenges when transforming natural language (NL) to SPARQL queries. Simple questions only referring to one triple are answerable by most QA systems, but more complex question
Publikováno v:
International Journal of Semantic Computing. :385-388
This book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 13th European Conference on the Semantic Web, ESWC 2016, held in Heraklion, Greece, in May/June 2016.The volume contains 16 full papers and 38 po
Autor:
Nadine Steinmetz
Publikováno v:
EDULEARN proceedings.
Publikováno v:
International Journal of Semantic Computing. :119-121
Publikováno v:
Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation ISBN: 9783319120928
Adaptive Multimedia Retrieval
Adaptive Multimedia Retrieval
Visual content classification has become a keystone when opening up digital image archives to semantic search. Content-based explicit metadata often is only sparsely available and automated analysis of the depicted content therefore provides an impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0024019d65a3a44d10ab2f229b7962f
https://doi.org/10.1007/978-3-319-12093-5_4
https://doi.org/10.1007/978-3-319-12093-5_4
Autor:
Nadine Steinmetz, Harald Sack
Publikováno v:
ICSC
Semantic analysis extracts semantic information from natural language texts and endeavors to make implicit facts explicit. Context and experience - in terms of previously achieved knowledge - are essential to solve this task. Confident semantic infor