S Bowers - Journal on Data Semantics, 2012 - Springer
Semantic modeling approaches (eg, conceptual models, controlled vocabularies, and ontologies) are increasingly being adopted to help address a number of challenges in …
As big data processing is being widely adopted by many domains, massive amount of generated data become more reliant on the parallel computing platforms for analysis …
D Salas, X Liang, M Navarro, Y Liang… - Environmental Modelling & …, 2020 - Elsevier
To tackle fundamental scientific questions regarding health, resilience and sustainability of water resources which encompass multiple disciplines, researchers need to be able to …
Z Liu, H Zhang, B Rao, L Wang - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Many data analyzing applications highly rely on timely response from execution, and are referred as time-critical data analyzing applications. Due to frequent appearing of gigantic …
The Web is evolving into a complex information space where the unprecedented volume of documents and data will offer to the information consumer a level of information integration …
H Zhang, H Huang, L Wang - Future Generation Computer Systems, 2019 - Elsevier
Due to its speed and ease of use, Spark has become a popular tool amongst data scientists to analyze data in various sizes. Counter-intuitively, data processing workloads in industrial …
Int. C. G06T I5/00(2011.01)(57) ABSTRACT G06T II/20(2006.01) Provenance techniques are disclosed for managing a history G06T 9/00(2011.01) of a meeting. For example, a …
Z Sun, H Zhang, Z Liu, C Xu… - 2016 IEEE 9th …, 2016 - ieeexplore.ieee.org
Recent research has demonstrated that social media could provide valuable spatio- temporal data about users activities. However, information extraction and computation from …