Information Systems Group

― Knowledge Representation and Reasoning

Robert Piro

Research Assistant


Research Interests

Robert Piro is interested in the model theoretic foundations of description logic (DL) including the characterisation of the expressiveness of DLs and the parallelisation of automated reasoning with its complexity theoretic foundations.

Thesis

Model Theoretic Characterisations of Description Logics Robert Piro, submitted: August 2012.

Publications

Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems Boris Motik, Yavor Nenov, Robert Piro and Ian Horrocks, in: AAAI Publications, Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Hybrid Reasoning on OWL RL Jacopo Urbani Robert Piro Frank van Harmelen, Henri Bal, in: Semantic Web Journal, IOS Press, 2013
Description Logic TBoxes: Model-theoretic Characterizations and Rewritability (Full paper with proofs) Carsten Lutz Robert Piro and Frank Wolter, in: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI11), 2011
Enriching EL-concepts with Greatest Fixpoints Carsten Lutz Robert Piro and Frank Wolter, in: Proceedings of the 19th European Conference on Artificial Intelligence (ECAI10) IOS Press, 2010.
EL-concepts go Second-order: Greatest Fixpoints and Simulation Quantifiers Carsten Lutz Robert Piro and Frank Wolter, in: Proceedings of the 23rd International Workshop on Description Logics (DL2010), 2010.
A Lindström characterisation of the guarded fragment and of modal logic with a global modality, Martin Otto and Robert Piro, in: Advances in Modal Logic 7, C. Areces, R. Goldblatt (eds), pp. 273-288, 2008.



Other Interests

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Name

Robert Piro

Posts

Research Assistant

Projects

ExODA

Contact Information

University of Oxford
Computer Science Department
Wolfson Building, Room 307,
Parks Road,
Oxford
OX1 3QD , UK
+44 186 528 3520
robert.piro at cs dot ox dot ac dot uk

News

Awards at the ORE 2013 workshop

MORe, HermiT and ELK, three OWL reasoning systems developed in the Knowledge Representation and Reasoning (KRR) group, have been awarded at the OWL Reasoner Evaluation Workshop (ORE 2013).

OWL Reasoner Evaluation Workshop (ORE 2013)

The KRR group co-organises the 2nd edition of the OWL Reasoner Evaluation Workshop (ORE), collocated with DL 2013 workshop.

Best paper prize at SWAT4LS'12

Doctoral Student Despoina Magka's paper entitled 'Ontology-Based Classification of Molecules: a Logic Programming Approach' has received the best paper prize at the 2012 Semantic Web Applications and Tools for Life Sciences workshop [more information].

Boris Motik awarded EPSRC Early Career Fellowship

Boris Motik was recently successful in gaining an EPSRC Early Career Fellowship. The 5 year project, MaSI3: A Massively Scalable Intelligent Information Infrastructure, focuses on Ontology-based Data Management Systems (ODMSs). These are a new kind of data management system specifically designed to deal with complex data, by using natural language queries often across multiple relevant sources [more information].

KRR member wins 'doctoral award' from University of Manchester

Yavor Nenov's PhD thesis "Computability of Euclidean Spatial Logics" has been awarded the Best Thesis Prize of the School of Computer Science at the University of Manchester [more information].

Ian Horrocks (KRR group leader) elected to Academia Europaea

Ian Horrocks has been elected to join Academia Europæa, an eminent organization for European scholars. Academia Europæa was founded in 1988 and has over 2000 members, including around 40 Nobel Laureates [more information].

KRR member wins 'doctoral award' from Spanish university

The Jaume I University of Castellon (Spain) has awarded a "Premio extraordinario de doctorado" (roughly translated as a Extraordinary Doctoral Award) to Ernesto Jimenez-Ruiz who is now a postdoctoral researcher at Oxford's Department of Computer Science [more information].

OAEI 2012: Matching Large Biomedical Ontologies

The KRR group organises the Large Biomedical Ontologies track within the Ontology Alignment Evaluation Initiative.