M Baigang, F Yi - Artificial Intelligence Review, 2023 - Springer
The rapid development of data and artificial intelligence technology has introduced new opportunities and challenges to aeronautical information intelligence. However, there are …
Despite improved digital access to scholarly knowledge in recent decades, scholarly communication remains exclusively document-based. In this form, scholarly knowledge is …
The Natural Language Processing (NLP) community has significantly contributed to the solutions for entity and relation recognition from a natural language text, and possibly linking …
Abstract Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge graphs are typically enormous and are often not easily accessible to end …
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects …
X Lin, H Li, H Xin, Z Li, L Chen - Proceedings of the VLDB Endowment, 2020 - dl.acm.org
Nowadays, most openly available knowledge bases (KBs) are incomplete, since they are not synchronized with the emerging facts happening in the real world. Therefore, knowledge …
The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering …
In the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and …
X Hu, Y Shu, X Huang, Y Qu - The Semantic Web–ISWC 2021: 20th …, 2021 - Springer
Abstract Knowledge base question answering (KBQA) aims at automatically answering factoid questions over knowledge bases (KBs). For complex questions that require multiple …