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Mehwish Alam
Mehwish Alam
Associate Professor at Télécom Paris, Institut Polytechnique de Paris, France
Verified email at telecom-paris.fr - Homepage
Title
Cited by
Cited by
Year
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
1212016
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
942021
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
482015
Amnestic forgery: An ontology of conceptual metaphors
A Gangemi, M Alam, V Presutti
Formal Ontology in Information Systems, 159-172, 2018
322018
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
292020
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
282016
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
222022
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
222022
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
202023
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
192022
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
192019
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
182021
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
162020
Interactive exploration over RDF data using formal concept analysis
M Alam, A Napoli
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
162015
Materials fatigue prediction using graph neural networks on microstructure representations
A Thomas, A Durmaz, M Alam, P Gumbsch, H Sack, C Eberl
142023
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