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On the use of semantic technologies for video analytics

Journal of Ambient Intelligence and Humanized Computing, 2020
The rapid proliferation of smart devices, surveillance cameras, infrastructures and buildings enhanced with the Internet of Things (IoT) technologies has led to a huge explosion of contents, especially in the video domain, determining an ever increasing interest towards the development of methods and tools for automatic analysis and interpretation of ...
L. Greco, Pierluigi Ritrovato, M. Vento
semanticscholar   +4 more sources

Semantic Analytics of PubMed Content

Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, 2011
We 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 ...
D. Ślęzak   +5 more
semanticscholar   +4 more sources

Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects

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

SemParser: A Semantic Parser for Log Analytics

International Conference on Software Engineering, 2021
Logs, 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

An Analytic Semantics of CSP

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
Tiejun Gao   +2 more
openaire   +3 more sources

Exploring Programming Semantic Analytics with Deep Learning Models

International Conference on Learning Analytics and Knowledge, 2019
There are numerous studies have reported the effectiveness of example-based programming learning. However, less is explored recommending code examples with advanced Machine Learning-based models.
Yihan Lu, I-Han Hsiao
semanticscholar   +1 more source

Toward Dynamic Model Association through Semantic Analytics: Approach and Evaluation

Conference on Business Informatics, 2019
Business Architecture (BA) is often used as a blueprint that aligns an enterprise's capabilities and processes with its strategic objectives and structures.
Lei Huang   +3 more
semanticscholar   +1 more source

Internet Data Analysis Methodology for Cyberterrorism Vocabulary Detection, Combining Techniques of Big Data Analytics, NLP and Semantic Web

International Journal on Semantic Web and Information Systems (IJSWIS), 2020
This article presents a methodology for the analysis of data on the Internet, combining techniques of Big Data analytics, NLP and semantic web in order to find knowledge about large amounts of information on the web.
Iván Castillo-Zúñiga   +5 more
semanticscholar   +1 more source

Semantic modeling for engineering data analytics solutions

Semantic Web, 2020
Data analytics solution engineering often involves multiple tasks from data exploration to result presentation which are applied in various contexts and on different datasets.
M. Bandara, F. Rabhi
semanticscholar   +1 more source

A semantic approach to mobile learning analytics

Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality, 2013
Mobile learning has reached a considerable level of maturity in recent years, and its role is widely acknowledged in school contexts, university, vocational training, formal and non-formal learning settings, and more generally as an opportunity for lifelong learning.
Fulantelli Giovanni   +2 more
openaire   +3 more sources

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