Thomas Lukasiewicz

Professor Thomas Lukasiewicz

Professor of Computer Science

Yahoo! Research Fellow

E: firstname.lastname at cs.ox.ac.uk

T: +44 (0)1865 522566

Room 366, Wolfson Building, Parks Road, Oxford OX1 3QD

Themes:

• Information Systems
• Algorithms and Complexity Theory

Completed Projects:

• ExODA
• Probabilistic Semantic Query Answering on the Web
• PrOQAW
• PRODIMA
• Personalized Search on the Social Web

See also

• Google Scholar Profile
• 
  DBLP Profile
• 
  List of Projects
• 
  Invited Talks and Courses
• 
  Other Activities
• 
  Biography
• 
  
  Oana Tifrea-Marciuska awarded the EPSRC Doctoral Prize 2017
• 
  Faculty Fellow of the Alan Turing Institute
• 
  Gerardo Simari in "AI's 10 to Watch" list for 2016
• 
  RuleML 2015 Best Paper Award
• 
  Top Cited Papers III
• 
  Top Cited Papers II
• 
  AIJ Prominent Paper Award 2013
• 
  Oana Tifrea-Marciuska awarded Google European Doctoral Fellowship 2013
• 
  Top Cited Papers I
• 
  Google Research Award
• 
  Sponsored by Yahoo!

Selected Publications

View AllManage publications

• Tag−Aware Personalized Recommendation Using a Hybrid Deep Model

  Zhenghua Xu‚ Thomas Lukasiewicz‚ Cheng Chen‚ Yishu Miao and Xiangwu Meng

  In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press. August, 2017.

  Details about Tag−Aware Personalized Recommendation Using a Hybrid Deep Model | BibTeX data for Tag−Aware Personalized Recommendation Using a Hybrid Deep Model

• Query Answering in Ontologies Under Preference Rankings

  İsmail İlkan Ceylan‚ Thomas Lukasiewicz‚ Rafael Peñaloza and Oana Tifrea−Marciuska

  In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press. August, 2017.

  Details about Query Answering in Ontologies Under Preference Rankings | BibTeX data for Query Answering in Ontologies Under Preference Rankings

• Most Probable Explanations for Probabilistic Database Queries

  İsmail İlkan Ceylan‚ Stefan Borgwardt and Thomas Lukasiewicz

  In Carles Sierra, editor, Proceedings of the 26th International Joint Conference on Artificial Intelligence‚ IJCAI 2017‚ Melbourne‚ Australia‚ August 19−25‚ 2017. IJCAI/AAAI Press. August, 2017.

  Details about Most Probable Explanations for Probabilistic Database Queries | BibTeX data for Most Probable Explanations for Probabilistic Database Queries

Activities

• Machine Learning
• Knowledge Representation and Reasoning
• Databases

Projects

• DBOnto
• VADA

Current Students

Oana-Maria Camburu

Patrick Hohenecker

Zhenghua Xu

Past Student

Oana Tifrea-Marciuska