Add to ORKGThe growing availability of data in the information systems has raised the challenging problem of distinguishing between the resources that belong to the same information context. Starting from the hypothesis that the information system is based on Semantic Web technologies, is it possible to use these technologies to make an information system more adaptive to user requirements in order to enable personalization and differentiation mechanisms in the information delivery process? This paper proposes an approach to building recommendations by using Semantic Web technologies, in order to give the users a different access to the information. The outcome is a semantic recommender engine, capable of retrieving and ranking semantically annotated ...
The Web is now evolving from information sharing to resource provisioning as the emerging Web servic...
International audienceA recommender system based on semantic web technologies and on an adaptive hyp...
Personalization and recommendation systems are a solution to the problem of content overload, especi...
EnThe growing availability of data in the information systems has raised the challenging problem of ...
In the last few years the tourism industry has profoundly changed. Today, a large number of tourists...
In the Web 2.0 environment, institutes and organizations are starting to open up their previously is...
This paper describes how the combination of recommendation and Semantic Web techniques can enhance ...
This research explores the potential of utilizing social-web data as a source of contextual informat...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
One of the most important challenge in the information access field is information overload. To cope...
Abstract—One of the most important challenge in the infor-mation access field is information overloa...
This article presents the CHIP demonstrator1 for providing personalized access to digital museum col...
Research on digital cultural heritage has raised the importance of providing visitors with relevant ...
The ever more widespread use of the Web for knowledge sharing has led to the creation of a wide spe...
Digital publication is a useful and authoritative resource for knowledge and learning. How to use th...
The Web is now evolving from information sharing to resource provisioning as the emerging Web servic...
International audienceA recommender system based on semantic web technologies and on an adaptive hyp...
Personalization and recommendation systems are a solution to the problem of content overload, especi...
EnThe growing availability of data in the information systems has raised the challenging problem of ...
In the last few years the tourism industry has profoundly changed. Today, a large number of tourists...
In the Web 2.0 environment, institutes and organizations are starting to open up their previously is...
This paper describes how the combination of recommendation and Semantic Web techniques can enhance ...
This research explores the potential of utilizing social-web data as a source of contextual informat...
This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual...
One of the most important challenge in the information access field is information overload. To cope...
Abstract—One of the most important challenge in the infor-mation access field is information overloa...
This article presents the CHIP demonstrator1 for providing personalized access to digital museum col...
Research on digital cultural heritage has raised the importance of providing visitors with relevant ...
The ever more widespread use of the Web for knowledge sharing has led to the creation of a wide spe...
Digital publication is a useful and authoritative resource for knowledge and learning. How to use th...
The Web is now evolving from information sharing to resource provisioning as the emerging Web servic...
International audienceA recommender system based on semantic web technologies and on an adaptive hyp...
Personalization and recommendation systems are a solution to the problem of content overload, especi...