M
Mario T. Schlosser
Researcher at Stanford University
Publications - 17
Citations - 5275
Mario T. Schlosser is an academic researcher from Stanford University. The author has contributed to research in topics: Peer-to-peer & Semantic Web. The author has an hindex of 14, co-authored 17 publications receiving 5148 citations. Previous affiliations of Mario T. Schlosser include Technical University of Berlin & McKinsey & Company.
Papers
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Proceedings ArticleDOI
The Eigentrust algorithm for reputation management in P2P networks
TL;DR: An algorithm to decrease the number of downloads of inauthentic files in a peer-to-peer file-sharing network that assigns each peer a unique global trust value, based on the peer's history of uploads is described.
Proceedings ArticleDOI
Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks
Wolfgang Nejdl,Martin Wolpers,Wolf Siberski,Christoph Schmitz,Mario T. Schlosser,Ingo Brunkhorst,Alexander Löser +6 more
TL;DR: These RDF-based P2P networks are able to support sophisticated routing and clustering strategies based on the metadata schemas, attributes and ontologies used, and the use of super-peer based topologies for these networks is described.
EigenRep: Reputation Management in P2P Networks
TL;DR: An algorithm to decrease the number of downloads of inauthentic files in a peer-to-peer file-sharing network that assigns each peer a unique global reputation value, based on the peer’s history of uploads is described.
Proceedings ArticleDOI
A scalable and ontology-based P2P infrastructure for Semantic Web Services
TL;DR: This work proposes a graph topology which allows for very efficient broadcast and search, and provides an efficient topology construction and maintenance algorithm which, crucial to symmetric peer-to-peer networks, does neither require a central server nor super nodes in the network.
Book ChapterDOI
HyperCuP: hypercubes, ontologies, and efficient search on peer-to-peer networks
TL;DR: This work proposes a graph topology which allows for very efficient broadcast and search, and describes a broadcast algorithm that exploits the topology to reach all nodes in the network with the minimum number of messages possible.