Chatgpt versus traditional question answering for knowledge graphs: Current status and future directions towards knowledge graph chatbots

R Omar, O Mangukiya, P Kalnis, E Mansour - arXiv preprint arXiv …, 2023 - arxiv.org
Conversational AI and Question-Answering systems (QASs) for knowledge graphs (KGs) are
both emerging research areas: they empower users with natural language interfaces for …

A review: development of named entity recognition (NER) technology for aeronautical information intelligence

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 …

Open research knowledge graph: next generation infrastructure for semantic scholarly knowledge

MY Jaradeh, A Oelen, KE Farfar, M Prinz… - Proceedings of the 10th …, 2019 - dl.acm.org
Despite improved digital access to scholarly knowledge in recent decades, scholarly
communication remains exclusively document-based. In this form, scholarly knowledge is …

Falcon 2.0: An entity and relation linking tool over wikidata

A Sakor, K Singh, A Patel, ME Vidal - Proceedings of the 29th ACM …, 2020 - dl.acm.org
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 …

Querying knowledge graphs in natural language

S Liang, K Stockinger, TM De Farias, M Anisimova… - Journal of big Data, 2021 - Springer
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 …

Knowledge4COVID-19: A semantic-based approach for constructing a COVID-19 related knowledge graph from various sources and analyzing treatments' toxicities

A Sakor, S Jozashoori, E Niazmand, A Rivas… - Journal of Web …, 2023 - Elsevier
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 …

KBPearl: a knowledge base population system supported by joint entity and relation linking

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 …

Named entity disambiguation in short texts over knowledge graphs

W Bouarroudj, Z Boufaida, L Bellatreche - Knowledge and Information …, 2022 - Springer
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 …

Information extraction pipelines for knowledge graphs

MY Jaradeh, K Singh, M Stocker, A Both… - … and Information Systems, 2023 - Springer
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 …

Edg-based question decomposition for complex question answering over knowledge bases

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 …