Results 41 to 50 of about 190,426 (167)
Task-Oriented Image Semantic Communication Based on Rate-Distortion Theory [PDF]
arXiv, 2022 Task-oriented image semantic communication is a new communication paradigm, which aims to transmit semantics for artificial intelligent (AI) tasks while ignoring the reconstruction quality of the images. However, in some applications, such as autonomous driving, both image reconstruction quality and the performance of the followed AI tasks must be ...
arxiv
Graph NLU enabled question answering system
Heliyon, 2021 With a huge amount of information being stored as structured data, there is an increasing need for retrieving exact answers to questions from tables. Answering natural language questions on structured data usually involves semantic parsing of query to a ...
Sandeep Varma +4 more
doaj
GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data
ISPRS International Journal of Geo-Information, 2019 The primary goal of collecting Earth observation (EO) imagery is to map, analyze, and contribute to an understanding of the status and dynamics of geographic phenomena.
Stefan Lang +4 more
doaj +1 more source
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication [PDF]
arXiv, 2022 Intent-based networks that integrate sophisticated machine reasoning technologies will be a cornerstone of future wireless 6G systems. Intent-based communication requires the network to consider the semantics (meanings) and effectiveness (at end-user) of the data transmission.
arxiv
Advances in Mathematical Models for AI-Based News Analytics
MathematicsThe exponential growth of digital news sources presents a critical challenge in efficiently processing and analyzing vast datasets to derive actionable insights.
Fahim Sufi
doaj +1 more source
Big Data Analytics for Search Engine Optimization
Big Data and Cognitive Computing, 2020 In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and ...
Ioannis C. Drivas +3 more
doaj +1 more source
Application of Video Scene Semantic Recognition Technology in Smart Video
Tehnički Vjesnik, 2018 Video behaviour recognition and semantic recognition understanding are important components of intelligent video analytics. Traditionally, human behaviour recognition has met problems of low recognition efficiencies and poor accuracies. For example, most
Lele Qin, Lihua Kang
doaj +1 more source
Statistical metadata in knowledge discovery
Dyna, 2017 Metadata represents the semantic schema of the data collected over the years by an organization in order to apply the business intelligence approach. However, the metadata normally collected are not enough to facilitate knowledge discovery processes ...
Claudia Jiménez Ramírez +2 more
doaj +1 more source
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows [PDF]
arXiv, 2019 In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of semantic technologies. We present semantic data models that lay the foundation for the framework development and discuss the data analytics workflows based on these models ...
arxiv
Event Search and Analytics: Detecting Events in Semantically Annotated Corpora for Search and Analytics [PDF]
, 2016 In this article, I present the questions that I seek to answer in my PhD research. I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora. Semantic annotations such as named entities, geographic locations, and temporal expressions can help us mine events from the given ...
arxiv +1 more source