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Semantic Analytics of PubMed Content
Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, 2011We present an architecture aimed at semantic search and synthesis of information acquired from the document repositories. The proposed framework is expected to provide domain knowledge interfaces enabling the internally implemented algorithms to identify relationships between documents, researchers, institutions, as well as concepts extracted from ...
Ślȩzak, Dominik +5 more
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Computers in Human Behavior, 2021
Online reviews have become irreplaceable product/service information for many consumers. However, not all consumer reviews are deemed to be helpful. Drawing upon expectation-confirmation theory and the attribute-based model of consumer decision-making ...
Raffaele Filieri, F. Galati, E. Raguseo
semanticscholar +1 more source
Online reviews have become irreplaceable product/service information for many consumers. However, not all consumer reviews are deemed to be helpful. Drawing upon expectation-confirmation theory and the attribute-based model of consumer decision-making ...
Raffaele Filieri, F. Galati, E. Raguseo
semanticscholar +1 more source
SenseMap: Urban Performance Visualization and Analytics Via Semantic Textual Similarity
IEEE Transactions on Visualization and Computer Graphics, 2023As urban populations grow, effectively accessing urban performance measures such as livability and comfort becomes increasingly important due to their significant socioeconomic impacts.
Juntong Chen +3 more
semanticscholar +1 more source
Semantic Analytics and Ontologies
2013O Takaki, N Izumi, K Murata, K Hasida
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SemParser: A Semantic Parser for Log Analytics
International Conference on Software Engineering, 2021Logs, being run-time information automatically generated by software, record system events and activities with their timestamps. Before obtaining more insights into the run-time status of the software, a fundamental step of log analysis, called log ...
Yintong Huo +3 more
semanticscholar +1 more source
IEEE Transactions on Visualization and Computer Graphics, 2021
Semantic segmentation is a critical component in autonomous driving and has to be thoroughly evaluated due to safety concerns. Deep neural network (DNN) based semantic segmentation models are widely used in autonomous driving.
Wenbin He +4 more
semanticscholar +1 more source
Semantic segmentation is a critical component in autonomous driving and has to be thoroughly evaluated due to safety concerns. Deep neural network (DNN) based semantic segmentation models are widely used in autonomous driving.
Wenbin He +4 more
semanticscholar +1 more source
Fundamenta Informaticae, 1991
It is presented an approach which gives the ability to translate a CSP program into a \(\nu\)-act. The rules of translation are obtained by using the so-called compositional principle. By introducing channel variables of higher type it becomes natural and useful to deal with communication of CSP processes in the \(\nu\)-acts. In the final part is given
Gao, Tiejun +2 more
openaire +2 more sources
It is presented an approach which gives the ability to translate a CSP program into a \(\nu\)-act. The rules of translation are obtained by using the so-called compositional principle. By introducing channel variables of higher type it becomes natural and useful to deal with communication of CSP processes in the \(\nu\)-acts. In the final part is given
Gao, Tiejun +2 more
openaire +2 more sources