Add to ORKGIn social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. A long version of this paper has been published at the European Semantic Web Conference 2006 [3]
Weak semantic techniques rely on the integration of Semantic Web techniques with social annotations,...
Ranking documents in response to users' information needs is a challenging task, due, in part, to t...
In general, ranking entities (resources) on the Semantic Web (SW) is subject to importance, relevanc...
In social bookmark tools users are setting up lightweight conceptual structures called folksonomies....
Abstract: Currently, social bookmarking systems provide intuitive support for browsing lo-cally thei...
Currently, social bookmarking systems provide intuitive support for browsing locally their con-tent....
Abstract. Social bookmarking systems allow users to store links to in-ternet resources on a web page...
The Semantic Web community has expressed its interest on how the Semantic Web technology can be appl...
Abstract. Social (or folksonomic) tagging has become a very pop-ular way to describe, categorise, se...
Abstract. As the number of resources on the web exceeds by far the number of documents one can track...
In social bookmarking systems users describe book-marks by keywords called tags. The structure be-hi...
We propose a decentralized ranking algorithm for finding top-k users in a semantic social overlay ba...
The PageRank algorithm is used in Web information retrieval to calculate a single list of popularity...
This thesis proposes novel search and ranking approaches for semantically rich application domains. ...
Social interactions as introduced by Web 2.0 applications during the last decade have changed the wa...
Weak semantic techniques rely on the integration of Semantic Web techniques with social annotations,...
Ranking documents in response to users' information needs is a challenging task, due, in part, to t...
In general, ranking entities (resources) on the Semantic Web (SW) is subject to importance, relevanc...
In social bookmark tools users are setting up lightweight conceptual structures called folksonomies....
Abstract: Currently, social bookmarking systems provide intuitive support for browsing lo-cally thei...
Currently, social bookmarking systems provide intuitive support for browsing locally their con-tent....
Abstract. Social bookmarking systems allow users to store links to in-ternet resources on a web page...
The Semantic Web community has expressed its interest on how the Semantic Web technology can be appl...
Abstract. Social (or folksonomic) tagging has become a very pop-ular way to describe, categorise, se...
Abstract. As the number of resources on the web exceeds by far the number of documents one can track...
In social bookmarking systems users describe book-marks by keywords called tags. The structure be-hi...
We propose a decentralized ranking algorithm for finding top-k users in a semantic social overlay ba...
The PageRank algorithm is used in Web information retrieval to calculate a single list of popularity...
This thesis proposes novel search and ranking approaches for semantically rich application domains. ...
Social interactions as introduced by Web 2.0 applications during the last decade have changed the wa...
Weak semantic techniques rely on the integration of Semantic Web techniques with social annotations,...
Ranking documents in response to users' information needs is a challenging task, due, in part, to t...
In general, ranking entities (resources) on the Semantic Web (SW) is subject to importance, relevanc...