Ontological Conjunctive Query Answering over Semi-Structured KBs

Bruno Paiva Lima da Silva 1, 2 Jean-François Baget 2 Madalina Croitoru 2
2 GRAPHIK - Graphs for Inferences on Knowledge
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : In the context of ontological conjunctive query answering different paradigms for representation and their subsequent manipulation by dedicated reasoning systems have been successfully studied in the past. However, new challenges, problems and issues have appeared in the context of knowledge representation in AI that involve the logical manipulation of increasingly large information sets (see for example the Semantic Web). In this paper we explain these challenges by the means of an example and try to further identify the difficulties ahead of our goal.
Document type :
Conference papers
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00618151
Contributor : Bruno Paiva Lima da Silva <>
Submitted on : Wednesday, August 31, 2011 - 6:25:31 PM
Last modification on : Wednesday, December 12, 2018 - 11:44:03 AM
Long-term archiving on : Tuesday, November 13, 2012 - 9:42:23 AM

File

gdm2011.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : lirmm-00618151, version 1

Collections

Citation

Bruno Paiva Lima da Silva, Jean-François Baget, Madalina Croitoru. Ontological Conjunctive Query Answering over Semi-Structured KBs. GDM'11: The 2nd International Workshop on Graph Data Management: Techniques and Applications, Hanovre, Germany. pp.118-123. ⟨lirmm-00618151⟩

Share

Metrics

Record views

848

Files downloads

625