Foundations of Semantic Web Technologies
By Pascal Hitzler, Markus Krötzsch, S. Rudolph. 2009
936 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/2d84f783b0d8dd1986d5254d1e1d29af3ac8835f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Boris Motik
- Birte Glimm
- Giorgos Stoilos
- Zhe Wang
- S. Rudolph
- Pascal Hitzler
- Ian Horrocks
- Charith Perera
In Information Systems
- Boris Motik
- Birte Glimm
- S. Rudolph
- Pascal Hitzler
- Charith Perera
- Ian Horrocks
- Giorgos Stoilos
- Zhe Wang
Citations in the corpus
- EP-SPARQL: a unified language for event processing and stream reasoning (2011, methodology): “We assume the reader to be familiar with RDF and SPARQL; For a thorough introduction to these formalisms see, e.g. [13].”
- Explaining Trained Neural Networks with Semantic Web Technologies: First Steps (2017, background): “Semantic Web [4,12] is concerned with data sharing, discovery, integration, and reuse.”
- HermiT: An OWL 2 Reasoner (2014, methodology): “We assume the reader to be familiar with OWL, description logics [12, 22], and the correspondence between the OWL and the description logic syntax [14].”
- Context Aware Computing for The Internet of Things: A Survey (2013, background): “Comprehensive and extensive amounts of information on semantic technology are available in [130], [131], [132].”
- Knowledge Graphs (2020, neutral): “3 Reasoning Given two graphs, deciding if the first entails the second – per all of the features in Tables 2–4 – is undecidable: no (finite) algorithm for such entailment can exist that halts on all inputs with the correct true/false answer [53].”