%0 Journal Article %1 Peng2022 %A Peng, Jacqueline %A Xu, David %A Lee, Ryan %A Xu, Siwei %A Zhou, Yunyun %A Wang, Kai %D 2022 %J BMC Medical Informatics and Decision Making %K knowledgegraph visualization %N 2 %P 147 %R 10.1186/s12911-022-01848-z %T Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology %U https://doi.org/10.1186/s12911-022-01848-z %V 22 %X Knowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to generate KGs from biomedical literature and use them for downstream tasks such as link prediction and question answering. However, there is a lack of computational tools or web frameworks to support the exploration and visualization of the KG themselves, which would facilitate interactive knowledge discovery and formulation of novel biological hypotheses.

@article{Peng2022, abstract = {Knowledges graphs (KGs) serve as a convenient framework for structuring knowledge. A number of computational methods have been developed to generate KGs from biomedical literature and use them for downstream tasks such as link prediction and question answering. However, there is a lack of computational tools or web frameworks to support the exploration and visualization of the KG themselves, which would facilitate interactive knowledge discovery and formulation of novel biological hypotheses.}, added-at = {2024-12-06T15:05:54.000+0100}, author = {Peng, Jacqueline and Xu, David and Lee, Ryan and Xu, Siwei and Zhou, Yunyun and Wang, Kai}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2801deda933893126de28b597d97551b3/diglezakis}, day = 02, description = {Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology | BMC Medical Informatics and Decision Making}, doi = {10.1186/s12911-022-01848-z}, interhash = {ec3f108c32ef5a5004ab52ff4972b2cf}, intrahash = {801deda933893126de28b597d97551b3}, issn = {1472-6947}, journal = {BMC Medical Informatics and Decision Making}, keywords = {knowledgegraph visualization}, month = jun, number = 2, pages = 147, timestamp = {2024-12-06T15:05:54.000+0100}, title = {Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology}, url = {https://doi.org/10.1186/s12911-022-01848-z}, volume = 22, year = 2022 }