7 Publications

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[7]
2026 | Journal Article | LibreCat-ID: 60990
R. H. Gusmita, A. F. Firmansyah, H. M. A. Zahera, and A.-C. Ngonga Ngomo, “ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian,” Data & Knowledge Engineering, vol. 161, p. 102504, 2026, doi: https://doi.org/10.1016/j.datak.2025.102504.
LibreCat | DOI | Download (ext.)
 
[6]
2025 | Conference Paper | LibreCat-ID: 59054
A. F. Firmansyah, H. M. A. Zahera, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “ANTS: Abstractive Entity Summarization in Knowledge Graphs,” in ESWC2025, 2025, pp. 133--151, doi: 10.1007/978-3-031-94575-5_8.
LibreCat | DOI
 
[5]
2025 | Conference Paper | LibreCat-ID: 62119
R. Ihtassine, A. F. Firmansyah, N. Srivastava, M. Ali, A.-C. Ngonga Ngomo, and M. Sherif, “NL2LS: LLM-based Automatic Linking of Knowledge Graphs,” 2025.
LibreCat
 
[4]
2024 | Book Chapter | LibreCat-ID: 54412
A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving Entity Summarization by Leveraging Language Models,” in The Semantic Web, Cham: Springer Nature Switzerland, 2024.
LibreCat | DOI
 
[3]
2023 | Book Chapter | LibreCat-ID: 46516
A. F. A. Ahmed, A. F. Firmansyah, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “Explainable Integration of Knowledge Graphs Using Large Language Models,” in Natural Language Processing and Information Systems, Cham: Springer Nature Switzerland, 2023.
LibreCat | DOI
 
[2]
2023 | Book Chapter | LibreCat-ID: 46572
R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,” in Natural Language Processing and Information Systems, Cham: Springer Nature Switzerland, 2023.
LibreCat | Files available | DOI
 
[1]
2021 | Conference Paper | LibreCat-ID: 29486
A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “GATES: Using Graph Attention Networks for Entity Summarization,” in Proceedings of the 11th on Knowledge Capture Conference, 2021, pp. 73–80, doi: 10.1145/3460210.3493574.
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7 Publications

Mark all

[7]
2026 | Journal Article | LibreCat-ID: 60990
R. H. Gusmita, A. F. Firmansyah, H. M. A. Zahera, and A.-C. Ngonga Ngomo, “ELEVATE-ID: Extending Large Language Models for End-to-End Entity Linking Evaluation in Indonesian,” Data & Knowledge Engineering, vol. 161, p. 102504, 2026, doi: https://doi.org/10.1016/j.datak.2025.102504.
LibreCat | DOI | Download (ext.)
 
[6]
2025 | Conference Paper | LibreCat-ID: 59054
A. F. Firmansyah, H. M. A. Zahera, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “ANTS: Abstractive Entity Summarization in Knowledge Graphs,” in ESWC2025, 2025, pp. 133--151, doi: 10.1007/978-3-031-94575-5_8.
LibreCat | DOI
 
[5]
2025 | Conference Paper | LibreCat-ID: 62119
R. Ihtassine, A. F. Firmansyah, N. Srivastava, M. Ali, A.-C. Ngonga Ngomo, and M. Sherif, “NL2LS: LLM-based Automatic Linking of Knowledge Graphs,” 2025.
LibreCat
 
[4]
2024 | Book Chapter | LibreCat-ID: 54412
A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving Entity Summarization by Leveraging Language Models,” in The Semantic Web, Cham: Springer Nature Switzerland, 2024.
LibreCat | DOI
 
[3]
2023 | Book Chapter | LibreCat-ID: 46516
A. F. A. Ahmed, A. F. Firmansyah, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “Explainable Integration of Knowledge Graphs Using Large Language Models,” in Natural Language Processing and Information Systems, Cham: Springer Nature Switzerland, 2023.
LibreCat | DOI
 
[2]
2023 | Book Chapter | LibreCat-ID: 46572
R. H. Gusmita, A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran,” in Natural Language Processing and Information Systems, Cham: Springer Nature Switzerland, 2023.
LibreCat | Files available | DOI
 
[1]
2021 | Conference Paper | LibreCat-ID: 29486
A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “GATES: Using Graph Attention Networks for Entity Summarization,” in Proceedings of the 11th on Knowledge Capture Conference, 2021, pp. 73–80, doi: 10.1145/3460210.3493574.
LibreCat | DOI
 

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Citation Style: IEEE

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