Abstract: This article presents a novel algorithm for automatic estimation of information credibility. It concerns information collected in Knowledge Grid and Semantic Web. Possibilities to evaluate the credibility of information in such structures are much greater than those available for WWW sites which use natural language. The rating system presented in this paper estimates credibility automatically on the basis of the following metrics: information commonality, source independence, prestige of the source, experience with the source and conclusions from related information.
Credibility is a perceived quality and is evaluated with at least two major components: trustworthin...
The introduction of the Internet has made it very easy to gain information on any topic imaginable. ...
This paper summarises work where we combined semantic web technologies with deep learning systems to...
This book introduces readers to Web content credibility evaluation and evaluation support. It highli...
Abstract — Credibility of a web-based document is an important concern, when a large number of docum...
Despite being a vast resource of valuable information, the Web has been polluted by the spread of fa...
Seeking information is a part of life and evaluating the quality of information is a critical part o...
International audienceCredibility, as the general concept covering trustworthiness and expertise, bu...
The Semantic Web is a vision to create a “web of knowledge”; an extension of the Web as we know it w...
International audienceCredibility, as the general concept covering trustworthiness and expertise, bu...
Abstract. Classification algorithms usually assume that any example in the training set should contr...
Digital content is not always credible where credibility refers to the believability of the content....
Abstract: How to identify and evaluate information credibility ranking has become an increasing impo...
Digital content is not always credible where credibility refers to the believability of the content....
The amount of information is rapidly increasing in the information age. Paradoxically, it is becomin...
Credibility is a perceived quality and is evaluated with at least two major components: trustworthin...
The introduction of the Internet has made it very easy to gain information on any topic imaginable. ...
This paper summarises work where we combined semantic web technologies with deep learning systems to...
This book introduces readers to Web content credibility evaluation and evaluation support. It highli...
Abstract — Credibility of a web-based document is an important concern, when a large number of docum...
Despite being a vast resource of valuable information, the Web has been polluted by the spread of fa...
Seeking information is a part of life and evaluating the quality of information is a critical part o...
International audienceCredibility, as the general concept covering trustworthiness and expertise, bu...
The Semantic Web is a vision to create a “web of knowledge”; an extension of the Web as we know it w...
International audienceCredibility, as the general concept covering trustworthiness and expertise, bu...
Abstract. Classification algorithms usually assume that any example in the training set should contr...
Digital content is not always credible where credibility refers to the believability of the content....
Abstract: How to identify and evaluate information credibility ranking has become an increasing impo...
Digital content is not always credible where credibility refers to the believability of the content....
The amount of information is rapidly increasing in the information age. Paradoxically, it is becomin...
Credibility is a perceived quality and is evaluated with at least two major components: trustworthin...
The introduction of the Internet has made it very easy to gain information on any topic imaginable. ...
This paper summarises work where we combined semantic web technologies with deep learning systems to...