نتایج جستجو برای: truth discovery

تعداد نتایج: 162764  

Journal: :CoRR 2015
Wenqiang Liu Jun Liu Yanan Qian Bifan Wei Qinghua Zheng

In the community of Linked Data, anyone can publish their data as Linked Data on the web because of the openness of the Semantic Web. As such, RDF (Resource Description Framework) triples described the same real-world entity can be obtained from multiple sources; it inevitably results in conflicting objects for a certain predicate of a real-world entity. The objective of this study is to identi...

2016
Dong Wang Jermaine Marshall Chao Huang

Twitter has emerged as a new application paradigm of sensing the physical environment by using human as sensors. These human sensed observations are often viewed as binary claims (either true or false). A fundamental challenge on Twitter is how to ascertain the credibility of claims and the reliability of sources without the prior knowledge on either of them beforehand. This challenge is referr...

Journal: :Security and Communication Networks 2021

With the rapid development of portable mobile devices, crowd sensing systems (MCS) have been widely studied. However, data provided by participants in MCS applications is always unreliable, which affects service quality system, and truth discovery technology can effectively obtain true values from multiple users. At same time, privacy leaks also restrict users’ enthusiasm for participating MCS....

Journal: :Wireless Communications and Mobile Computing 2023

The water quality of urban inland rivers is an important index environmental health, which can reflect a city’s development level and its social economic development. these strongly impacts the health life residents surrounding areas. Therefore, it necessary to accurately assess in rivers, also aid protection departments providing river governance. Generally, status assessed released by monitor...

Journal: :IEEE Transactions on Knowledge and Data Engineering 2022

The problem of estimating event truths from conflicting agent opinions in a social network is investigated. An autoencoder learns the complex relationships between truths, reliabilities and observations. A Bayesian model proposed to guide learning process by modeling relationship autoencoder's outputs with different variables. At same time, it also models agents network. approach unsupervised a...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید