Thomas Neumann

Artificial Intelligence · Proceedings of the VLDB Endowment · 2008–2016

A researcher in the Science corpus: 8 papers; trusts 19 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Neumann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Fabian M. Suchanek
  2. Justin Zobel
  3. Lise Getoor
  4. Daniel J. Abadi
  5. Alfons Kemper
  6. Chris Lattner
  7. Andreas Harth
  8. Gerhard Weikum
  9. Gjergji Kasneci
  10. Alistair Moffat

Who trusts Thomas Neumann overall

  1. Viktor Leis
  2. Michael Schmidt
  3. Mark Raasveldt
  4. Alfons Kemper
  5. Lei Zou
  6. Kai Zeng
  7. Hao Zhang
  8. Hannes Mühleisen
  9. Luis Galárraga
  10. Johannes Hoffart

Papers from Thomas Neumann's perspective

Ordered by how strongly the researchers Thomas Neumann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient RDF Storage and Retrieval in Jena2 (SWDB)
  2. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
  3. The ICS-FORTH RDFSuite: Managing Voluminous RDF Description Bases (International Workshop on the Semantic Web)
  4. The RDF-3X engine for scalable management of RDF data (The VLDB journal)
  5. An Efficient SQL-based RDF Querying Scheme (Very Large Data Bases Conference)
  6. MonetDB/X100: Hyper-Pipelining Query Execution (Conference on Innovative Data Systems Research)
  7. DBpedia: A Nucleus for a Web of Open Data
  8. Hexastore: sextuple indexing for semantic web data management (Proceedings of the VLDB Endowment)
  9. YAGO: A Large Ontology from Wikipedia and WordNet (Journal of Web Semantics)
  10. RDF-3X: a RISC-style engine for RDF (Proceedings of the VLDB Endowment)

Their papers