Results 61 to 70 of about 7,514,301 (303)
Semantic perspectives for learning over biomedical knowledge graphs
, 2023 Knowledge graphs represent an unparalleled opportunity for machine learning in the biomedical domain, given their ability to enrich data with meaningful context through semantic representations, such as knowledge graph embeddings and semantic similarity.
Sousa, Rita Isabel Torres de
core
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Knowledge Questions from Knowledge Graphs [PDF]
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017 We address the novel problem of automatically generating quiz-style knowledge questions from a knowledge graph such as DBpedia. Questions of this kind have ample applications, for instance, to educate users about or to evaluate their knowledge in a specific domain. To solve the problem, we propose an end-to-end approach.
Seyler, D., Yahya, M., Berberich, K.
openaire +5 more sources
Keyphrase Extraction Using Knowledge Graphs
Data Science and Engineering, 2017 Extracting keyphrases from documents automatically is an important and interesting task since keyphrases provide a quick summarization for documents. Although lots of efforts have been made on keyphrase extraction, most of the existing methods (the co ...
Wei Shi +4 more
doaj +1 more source
Intent Classification by the Use of Automatically Generated Knowledge Graphs
Information, 2023 Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers’ goals. Although intent classification performs well in general settings, domain-specific user goals can still present a challenge for ...
Mihael Arcan +9 more
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Knowledge Graph Embeddings [PDF]
, 2012 With the growing popularity of multi-relational data on the Web, knowledge graphs (KGs) have become a key data source in various application domains, such as Web search, question answering, and natural language understanding. In a typical KG such as Freebase (Bollacker et al.
Rosso, Paolo +2 more
openaire +2 more sources
A Knowledge Graph Recommendation Approach Incorporating Contrastive and Relationship Learning
IEEE Access, 2023 Knowledge graphs, encompassing abundant structured and semantic information, exhibit remarkable potential within personalized recommendation fields.
Xintao Shen, Yulai Zhang
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Training and hackathon on building biodiversity knowledge graphs [PDF]
Research Ideas and Outcomes, 2019 Knowledge graphs have the potential to unite disconnected digitized biodiversity data, and there are a number of efforts underway to build biodiversity knowledge graphs.
Joel Sachs +6 more
doaj +3 more sources