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Semantic analytics

Semantic analytics is the use of ontologies to analyze content in web resources. This field of research combines text analytics and Semantic Web… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
The goal of the STyrLogism Project is to semi-automatically extract neologism candidates (new lexemes) for the German standard… 
2018
2018
The key theme of the analytics here encompasses data mining and knowledge discovery in data, and that comprises unsupervised… 
2017
2017
. Plausible Reasoning (PR) is an inferencing mechanism to derive solutions when dealing with incomplete knowledge. When… 
2017
2017
We demonstrate the open-source Semantic Analytics Stack (SANSA), which can perform scalable analysis of large-scale knowledge… 
2017
2017
Diabetes is one of the metabolic disorders that causes the threat for healthcare community and medically doctors call diabetes as… 
2016
2016
By treating the end-to-end data science workflow as data itself and through the conceptual modeling of the goals and functional… 
2015
2015
— Providing personalized consumer contents can be both empowered and simplified through adapting analytics modeling and results… 
2005
2005
Large Scale Distributed Information Systems (LSDIS) Lab, Computer Science Department, University of Georgia, 415 Graduate Studies… 
Review
1998
Review
1998
Vadose Zone Science and Technology Solutions. Edited by makers overcome technical difficulties, scientific knowledge gaps, and…