World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
16149
World Ranking
3051
National Ranking
182

Overview

Boris Motik is affiliated with the University of Oxford in the United Kingdom. Their research primarily focuses on computer science, with significant contributions to the fields of artificial intelligence, computer networks and communications, computer vision and pattern recognition, computational theory and mathematics, and information systems and management.

The scientist's main topics of work include:

  • Semantic Web and Ontologies
  • Advanced Database Systems and Queries
  • Logic, Reasoning, and Knowledge
  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Bayesian Modeling and Causal Inference
  • Scientific Computing and Data Management

Boris Motik has published extensively in several prominent venues. Notable frequent publication sources include:

  • ACM Transactions on Database Systems
  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Journal of Web Semantics
  • Artificial Intelligence

Recent papers authored or co-authored by Boris Motik span a range of topics related to database systems, logic, and data management. These publications include:

  • "Rewriting the infinite chase," 2022, Proceedings of the VLDB Endowment
  • "Modular materialisation of Datalog programs," 2022, Artificial Intelligence
  • "Materialisation and data partitioning algorithms for distributed RDF systems," 2022, Journal of Web Semantics
  • "Accurate Sampling-Based Cardinality Estimation for Complex Graph Queries," 2024, ACM Transactions on Database Systems
  • "Limit Datalog," 2020, ACM SIGMOD Record

The scientist has collaborated regularly with several co-authors, reflecting interdisciplinary and joint research efforts. Frequent co-authors include:

  • Ian Horrocks
  • Bernardo Cuenca Grau
  • Egor V. Kostylev
  • Michael Benedikt
  • Maxime Buron

Best Publications

  • OWL 2: The next step for OWL

    Bernardo Cuenca Grau;Ian Horrocks;Boris Motik;Bijan Parsia

  • OWL 2 Web Ontology Language: structural specification and functional-style syntax

    B. Motik;P.F. Patel-Schneider;B. Parsia;C. Bock

  • HermiT: An OWL 2 Reasoner

    Birte Glimm;Ian Horrocks;Boris Motik;Giorgos Stoilos

  • HermiT: A Highly-Efficient OWL Reasoner.

    Robert D. C. Shearer;Boris Motik;Ian Horrocks

  • Query Answering for OWL-DL with rules

    Boris Motik;Ulrike Sattler;Rudi Studer

  • MAFRA - A MApping FRAmework for Distributed Ontologies

    Alexander Maedche;Boris Motik;Nuno Silva;Nuno Silva;Raphael Volz

  • Hypertableau reasoning for description logics

    Boris Motik;Rob Shearer;Ian Horrocks

  • User-Driven Ontology Evolution Management

    Ljiljana Stojanovic;Alexander Maedche;Boris Motik;Nenad Stojanovic

  • Bridging the gap between OWL and relational databases

    Boris Motik;Ian Horrocks;Ulrike Sattler

  • Ontologies for enterprise knowledge management

    A. Maedche;B. Motik;L. Stojanovic;R. Studer

  • KAON - Towards a Large Scale Semantic Web

    Erol Bozsak;Marc Ehrig;Siegfried Handschuh;Andreas Hotho

  • Reducing SHIQ - description logic to disjunctive datalog programs

    Ullrich Hustadt;Boris Motik;Ulrike Sattler

  • Reconciling description logics and rules

    Boris Motik;Riccardo Rosati

  • Query answering for OWL-DL with rules

    Boris Motik;Ulrike Sattler;Rudi Studer

  • Data complexity of reasoning in very expressive description logics

    Ullrich Hustadt;Boris Motik;Ulrike Sattler

  • Reasoning in description logics using resolution and deductive databases

    Boris Motik

  • Managing multiple and distributed ontologies on the Semantic Web

    A. Maedche;B. Motik;L. Stojanovic

  • A comparison of reasoning techniques for querying large description logic ABoxes

    Boris Motik;Ulrike Sattler

  • A faithful integration of description logics with logic programming

    Boris Motik;Riccardo Rosati

  • RDFox: A Highly-Scalable RDF Store

    Yavor Nenov;Robert Piro;Boris Motik;Ian Horrocks

  • Reasoning in Description Logics by a Reduction to Disjunctive Datalog

    Ullrich Hustadt;Boris Motik;Ulrike Sattler

Frequent Co-Authors

Ian Horrocks
Ian Horrocks University of Oxford
Bernardo Cuenca Grau
Bernardo Cuenca Grau University of Oxford
Ulrike Sattler
Ulrike Sattler University of Manchester
Raphael Volz
Raphael Volz Pforzheim University of Applied Sciences
Alexander Maedche
Alexander Maedche Karlsruhe Institute of Technology
Rudi Studer
Rudi Studer Karlsruhe Institute of Technology
Steffen Staab
Steffen Staab University of Stuttgart
York Sure
York Sure Karlsruhe Institute of Technology
Peter F. Patel-Schneider
Peter F. Patel-Schneider Palo Alto Research Center
Andreas Hotho
Andreas Hotho University of Würzburg

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can open many doors for those interested in computer science and related fields. If you’re seeking quality education within your budget, several affordable online colleges offer bachelor’s degrees, making it easier to balance your studies with work or family commitments.

For a more technical focus, engineering online programs provide flexible options that allow you to learn practical skills—ideal for technology-driven careers.

If you’re aspiring to move into executive or managerial positions, a cheapest executive mba online program can be a cost-effective way to gain advanced business leadership knowledge and skills.

Those interested in information management beyond traditional computing may consider related paths, such as a library science masters. This degree equips graduates for roles in digital archiving, data curation, and more.

No matter your career aspirations, affordable online degrees offer flexible and accessible pathways to advance in computer science and allied fields.

Best Scientists Citing Boris Motik

Trending Scientists