News

We have two papers accepted to PODS 2020:

• Answering (Unions of) Conjunctive Queries using Random Access and Random-Order Enumeration, by Nofar Carmeli, Shai Zeevi, Christoph Berkholz, Benny Kimelfeld, and Nicole Schweikardt.
• The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries, by Alon Reshef, Benny Kimelfeld, and Ester Livshits.

My student Guy Elad has presented our paper at CIKM 2019:

• Learning to Generate Personalized Product Descriptions. By Guy Elad, Ido Guy, Kira Radinsky, Slava Novgorodov, and Benny Kimelfeld.

Two papers that I co-authored got accepted to ICDT 2020:

• The Shapley Value of Tuples in Query Answering. By Ester Livshits, Leopoldo Bertossi, Benny Kimelfeld, and Moshe Sebag.
• Weight Annotation in Information Extraction. By Johannes Doleschal, Benny Kimelfeld, Wim Martens, and Liat Peterfreund.

The article "A Relational Framework for Classifier Engineering," in collaboration with Christopher Ré, has appeared on ACM Transactions on Database Systems.

The German Research Foundation DFG (Deutsche Forschungsgemeinschaft) has awarded a DIP grant to the project entitled "Quantitative Reasoning about Database Queries,"  in collaboration with Prof. Martin Grohe.

Two papers that I co-authored got accepted to ICDT 2019:

• Recursive Programs for Document Spanners. By Liat Peterfreund, Balder Ten Cate, Ronald Fagin and Benny Kimelfeld.
• A Formal Framework for Probabilistic Unclean Databases. Christopher De Sa, Ihab Ilyas, Benny Kimelfeld, Christopher Re and Theodoros Rekatsinas.

Three papers that I co-authored got accepted for publication at PODS 2019:

• Split-correctness in information extraction. By Johannes Doleschal, Benny Kimelfeld, Wim Martens, Yoav Nahshon, and Frank Neven.
• Ranked Enumeration of Minimal Triangulations. By Noam Ravid, Dori Medini and Benny Kimelfeld.
• Regularizing Conjunctive Features for Classification. By Pablo Barceló, Alexander Baumgartner, Victor Dalmau and Benny Kimelfeld.

   

Two papers that I co-authored got accepted for publication at AAAI 2019:

• Approximate Inference of Outcomes in Probabilistic Elections. By Batya Kenig and Benny Kimelfeld.
• Building causal graphs from medical literature and electronic medical records. By Galia Nordon, Kira Radinsky, Uri Shalit, Benny Kimelfeld, Gideon Koren, and Varda Shalev.

Welcome! You can find here information about me and my research interests, publications, students, talks, courses, events, news, research areas of TD&K Lab and relevant links. Also you can see my resume in the Home Page.

Accepted to DH 2018: “Towards a Linked Data of Bible Quotations in Jewish Texts” by Oren Mishali and Benny Kimelfeld

The paper “eLinda: Explorer for Linked Data” by Tal Yahav, Oren Kalinsky, Oren Mishali and Beny Kimelfeld, was accepted to the 2018 EDBT conference (demo track).

The paper “Computing Optimal Repairs for Functional Dependencies” by Ester Livshits, Benny Kimelfeld, and Sudeepa Roy, was accepted to the 2018 PODS conference.

On April'18 we had a lab trip at the Carmel mountains. We visited the "finger cave", then had a nice walk, and eventually enjoyed an authentic Druze meal.