We present RDFGrowth, an algorithm that addresses a specific yet important scenario: large scale, end user targeted, metadata exchange P2P applications. In this scenario, peers per...
Giovanni Tummarello, Christian Morbidoni, Joackin ...
In this paper we tackle some of the most pressing obstacles of the emerging Linked Data Web, namely the quality, timeliness and coherence as well as direct end user benefits. We p...
Sebastian Tramp, Philipp Frischmuth, Timofey Ermil...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontol...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...
Adaptive Hypermedia constitutes a large portion of the Web nowadays. Issues of personalization and adaptation become crucial for the efficient handling of the information on the I...