Framester: A wide coverage linguistic linked data hub A Gangemi, M Alam, L Asprino, V Presutti, DR Recupero European Knowledge Acquisition Workshop, 239-254, 2016 | 121 | 2016 |
A survey on knowledge graph embeddings with literals: Which model links better literal-ly? GA Gesese, R Biswas, M Alam, H Sack Semantic Web 12 (4), 617-647, 2021 | 94 | 2021 |
Mining definitions from RDF annotations using formal concept analysis M Alam, A Buzmakov, V Codocedo, A Napoli Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 48 | 2015 |
Amnestic forgery: An ontology of conceptual metaphors A Gangemi, M Alam, V Presutti Formal Ontology in Information Systems, 159-172, 2018 | 32 | 2018 |
Investigation of the color fastness properties of natural dyes on cotton fabrics SM Shariful Islam, M Alam, S Akter Fibers and Textiles 27 (1), 1-6, 2020 | 29 | 2020 |
LatViz: a new practical tool for performing interactive exploration over concept lattices M Alam, TNN Le, A Napoli CLA 2016-Thirteenth International Conference on Concept Lattices and Their …, 2016 | 28 | 2016 |
Event-based knowledge reconciliation using frame embeddings and frame similarity M Alam, DR Recupero, M Mongiovi, A Gangemi, P Ristoski Knowledge-Based Systems 135, 192-203, 2017 | 27* | 2017 |
A knowledge graph embeddings based approach for author name disambiguation using literals C Santini, GA Gesese, S Peroni, A Gangemi, H Sack, M Alam Scientometrics 127 (8), 4887-4912, 2022 | 22 | 2022 |
Towards analyzing the bias of news recommender systems using sentiment and stance detection M Alam, A Iana, A Grote, K Ludwig, P Müller, H Paulheim Companion Proceedings of the Web Conference 2022, 448-457, 2022 | 22 | 2022 |
Divided by the Algorithm? The (Limited) Effects of Content-and Sentiment-Based News Recommendation on Affective, Ideological, and Perceived Polarization K Ludwig, A Grote, A Iana, M Alam, H Paulheim, H Sack, C Weinhardt, ... Social Science Computer Review, 08944393221149290, 2023 | 20 | 2023 |
RAILD: Towards leveraging relation features for inductive link prediction in knowledge graphs GA Gesese, H Sack, M Alam Proceedings of the 11th International Joint Conference on Knowledge Graphs …, 2022 | 19 | 2022 |
Frame-based detection of figurative language in tweets [application notes] DR Recupero, M Alam, D Buscaldi, A Grezka, F Tavazoee IEEE Computational Intelligence Magazine 14 (4), 77-88, 2019 | 19 | 2019 |
Cat2Type: Wikipedia Category Embeddings for Entity Typing in Knowledge Graphs R Biswas, R Sofronova, H Sack, M Alam Proceedings of the 11th on Knowledge Capture Conference, 81-88, 2021 | 18 | 2021 |
Semantic role labeling for knowledge graph extraction from text M Alam, A Gangemi, V Presutti, D Reforgiato Recupero Progress in Artificial Intelligence 10 (3), 309-320, 2021 | 18* | 2021 |
Analyzing social media for measuring public attitudes toward controversies and their driving factors: a case study of migration Y Chen, H Sack, M Alam Social network analysis and mining 12 (1), 1-27, 2022 | 17* | 2022 |
A survey on knowledge-aware news recommender systems A Iana, M Alam, H Paulheim Semantic Web Journal, 2022 | 16* | 2022 |
Steps towards a Dislocation Ontology for Crystalline Materials AZ Ihsan, D Dessì, M Alam, H Sack, S Sandfeld arXiv preprint arXiv:2106.15136, 2021 | 16* | 2021 |
Weakly supervised short text categorization using world knowledge R Türker, L Zhang, M Alam, H Sack International Semantic Web Conference, 584-600, 2020 | 16 | 2020 |
Interactive exploration over RDF data using formal concept analysis M Alam, A Napoli 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 16 | 2015 |
Materials fatigue prediction using graph neural networks on microstructure representations A Thomas, A Durmaz, M Alam, P Gumbsch, H Sack, C Eberl | 14 | 2023 |