التفاصيل البيبلوغرافية
| العنوان: |
Completing Scientific Facts in Knowledge Graphs of Research Concepts |
| المؤلفون: |
Borrego Díaz, Agustín, Dessì, Danilo, Hernández, Inma, Osborne, Francesco, Reforgiato Recupero, Diego, Ruiz Cortés, David, Buscaldi, Davide, Motta, Enrico |
| المساهمون: |
Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Ministerio de Ciencia, Innovación y Universidades (MICINN). España, Junta de Andalucía |
| بيانات النشر: |
IEEE Xplore |
| سنة النشر: |
2023 |
| المجموعة: |
idUS - Deposito de Investigación Universidad de Sevilla |
| مصطلحات موضوعية: |
Knowledge graphs, science of science, knowledge graph completion, triple classification, machine learning, semantic web |
| الوصف: |
In the last few years, we have witnessed the emergence of several knowledge graphs that explicitly describe research knowledge with the aim of enabling intelligent systems for supporting and accelerating the scientific process. These resources typically characterize a set of entities in this space (e.g., tasks, methods, evaluation techniques, proteins, chemicals), their relations, and the relevant actors (e.g., researchers, organizations) and documents (e.g., articles, books). However, they are usually very partial representations of the actual research knowledge and may miss several relevant facts. In this paper, we introduce SciCheck, a new triple classification approach for completing scientific statements in knowledge graphs. SciCheck was evaluated against other state-of-the-art approaches on seven benchmarks, yielding excellent results. Finally, we provide a real-world use case and applied SciCheck to the Artificial Intelligence Knowledge Graph (AI-KG), a large-scale automatically-generated open knowledge graph including 1.2M statements extracted from the 333K most cited articles in the field of Artificial Intelligence, and generated a new version of this knowledge graph with 300K additional triples ; Ministerio de Ciencia, Innovación y Universidades PID2019-105471RB-I00 ; Junta de Andalucía P18-RT-1060 ; Junta de Andalucía US-1380565 |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
IEEE Access, 10, 125867-125880.; PID2019-105471RB-I00; P18-RT-1060; US-1380565; https://ieeexplore.ieee.org/document/9940925Test; https://idus.us.es/handle//11441/144473Test |
| الإتاحة: |
https://idus.us.es/handle//11441/144473Test |
| حقوق: |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional ; http://creativecommons.org/licenses/by-nc-nd/4.0Test/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.10E0BB58 |
| قاعدة البيانات: |
BASE |
