Semi-automatic Construction of an Ontology and of Semantic Annotations from a Discussion Forum of a Community of Practice. - Bassem Makni; Khaled Khelif; Rose Dieng-Kuntz; Hacène Cherfi (EKAW, 2008)

Utilisation du Web Sémantique pour la gestion d'une liste de diffusion d'une CoP. - Bassem Makni; Khaled Khelif; Hacène Cherfi; Rose Dieng-Kuntz (EGC, 2008)

Comprehensive Service Semantics and Light-weight Linked Services: Towards an Integrated Approach. - Stefan Dietze; Neil Benn; Hong Qing Yu; Carlos Pedrinaci; Bassem Makni; Dong Liu 015; David Lambert; John Domingue (SMRR@ISWC, 2010)

Optimizing RDF Stores by Coupling General-purpose Graphics Processing Units and Central Processing Units. - Bassem Makni (ISWC-DC, 2013)

The Twitter Observatory - Exploring Social and Semantic Relationships in Social Media. - Qingpeng Zhang; Bassem Makni; James A. Hendler (CSWS, 2014)

Semantic Social Network Analysis by Cross-Domain Tensor Factorization. - Makoto Nakatsuji; Qingpeng Zhang; Xiaohui Lu; Bassem Makni; James A. Hendler (IEEE Trans. Comput. Soc. Syst., 2017)

Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. - Hima P. Karanam; Sumit Neelam; Udit Sharma; Sumit Bhatia; Srikanta Bedathur; L. Venkata Subramaniam; Maria Chang 001; Achille Fokoue-Nkoutche; Spyros Kotoulas; Bassem Makni; Mariano Rodriguez-Muro; Ryan Musa; et al. (ISWC (P&D/Industry/BlueSky), 2018)

Answering Science Exam Questions Using Query Rewriting with Background Knowledge. - Ryan Musa; Xiaoyan Wang; Achille Fokoue; Nicholas Mattei; Maria Chang 001; Pavan Kapanipathi; Bassem Makni; Kartik Talamadupula; Michael Witbrock (CoRR, 2018)

Analyzing the Flow of Trust in the Virtual World With Semantic Web Technologies. - Qingpeng Zhang; Dominic DiFranzo; Marie Joan Kristine Gloria; Bassem Makni; James A. Hendler (IEEE Trans. Comput. Soc. Syst., 2018)

Deep learning for noise-tolerant RDFS reasoning. - Bassem Makni (2018)

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. - Xiaoyan Wang; Pavan Kapanipathi; Ryan Musa; Mo Yu; Kartik Talamadupula; Ibrahim Abdelaziz; Maria Chang 001; Achille Fokoue; Bassem Makni; Nicholas Mattei; Michael Witbrock (AAAI, 2019)

Answering Science Exam Questions Using Query Reformulation with Background Knowledge. - Ryan Musa; Xiaoyan Wang; Achille Fokoue; Nicholas Mattei; Maria Chang 001; Pavan Kapanipathi; Bassem Makni; Kartik Talamadupula; Michael Witbrock (AKBC, 2019)

Reflections on: Deep Learning for Noise-Rolerant RDFS Reasoning. - Bassem Makni; James A. Hendler (JT@ISWC, 2019)

A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. - Maxwell Crouse; Spencer Whitehead; Ibrahim Abdelaziz; Bassem Makni; Cristina Cornelio; Pavan Kapanipathi; Edwin Pell; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (CoRR, 2019)

Deep learning for noise-tolerant RDFS reasoning. - Bassem Makni; James A. Hendler (Semantic Web, 2019)

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. - Pavan Kapanipathi; Veronika Thost; Siva Sankalp Patel; Spencer Whitehead; Ibrahim Abdelaziz; Avinash Balakrishnan; Maria Chang 001; Kshitij Fadnis; R. Chulaka Gunasekara; Bassem Makni; Nicholas Mattei; Kartik Talamadupula; et al. (AAAI, 2020)

Explainable Deep RDFS Reasoner. - Bassem Makni; Ibrahim Abdelaziz; James A. Hendler (CoRR, 2020)

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. - Maxwell Crouse; Ibrahim Abdelaziz; Bassem Makni; Spencer Whitehead; Cristina Cornelio; Pavan Kapanipathi; Kavitha Srinivas; Veronika Thost; Michael Witbrock; Achille Fokoue (AAAI, 2021)

Neuro-Symbolic Semantic Reasoning. - Bassem Makni; Monireh Ebrahimi; Dagmar Gromann; Aaron Eberhart (Neuro-Symbolic Artificial Intelligence, 2021)

Learning to Guide a Saturation-Based Theorem Prover. - Ibrahim Abdelaziz; Maxwell Crouse; Bassem Makni; Vernon Austel; Cristina Cornelio; Shajith Ikbal; Pavan Kapanipathi; Ndivhuwo Makondo; Kavitha Srinivas; Michael Witbrock; Achille Fokoue (IEEE Trans. Pattern Anal. Mach. Intell., 2023)