ELP: Tractable Rules for OWL 2

By Markus Krötzsch, S. Rudolph, Pascal Hitzler. 2008

134 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

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

1. Constantinos S. Pattichis
2. Douglas B. Kell
3. Chris Biemann
4. Andreas Holzinger
5. Georg Gottlob
6. Thomas Lukasiewicz
7. Andrea Calì
8. Ana Marasovic

In Information Systems

1. Douglas B. Kell
2. Georg Gottlob
3. Thomas Lukasiewicz
4. Andreas Holzinger
5. Chris Biemann

Citations in the corpus

• What do we need to build explainable AI systems for the medical domain? (2017, background): “…automated text understanding is still hampered by the fact that text is more expressive than tractable forms of logic and their representations, e.g. see (Kr¨otzsch et al., 2008) and there are no established ways to convert a text to its ontological representation (Cimiano et al., 2014).”
• A general datalog-based framework for tractable query answering over ontologies (2009, background): “and DLP [54], which are underlying the OWL 2 profiles QL, EL, and RL [104], respectively, as well as ELP [69], SROEL(×) [65], and SROELV3(u,×) [66].”