Investigating the challenges and prospects of construction models for dynamic knowledge graphs

M Farghaly, M Mounir, M Aref, SM Moussa - IEEE Access, 2024 - ieeexplore.ieee.org
Recently, Dynamic knowledge graphs (DKGs) have been considered the foundation stone
for several powerful knowledge-aware applications. DKG has a great advancement over …

OntoKnowNHS: ontology driven knowledge centric novel hybridised semantic scheme for image recommendation using knowledge graph

N Roopak, G Deepak - Knowledge Graphs and Semantic Web: Third …, 2021 - Springer
Multimedia content is increasing immensely as there are various websites available to
upload images. Image retrieval is a method of searching for, viewing, and retrieving images …

Semantic based carbon footprint of food supply chain management

S Yadav, M Powers, E Vakaj, S Tiwari… - Proceedings of the 24th …, 2023 - dl.acm.org
Climate change is one of the biggest issues we face, besides Covid [6], we head into the
future. Many strive to live more sustainably so that the choices made in our daily lives don't …

OISHI: an ontology integration Framework for domains of Socio-Humanitarian importance incorporating hybrid machine intelligence

E Bhaveeasheshwar, G Deepak - International Conference on Electronic …, 2023 - Springer
There is a need for strategic ontology integration as the integration of ontologies that are
cognitive entities and by themselves are knowledge representation, and description models …

Civil aviation travel question and answer method using knowledge graphs and deep learning

W Gong, Z Guan, Y Sun, Z Zhu, S Ye, S Zhang, P Yu… - Electronics, 2023 - mdpi.com
In this paper, a civil aviation travel question and answer (Q&A) method based on integrating
knowledge graphs and deep learning technology is proposed to establish a highly efficient …

Question-Answering System Powered by Knowledge Graph and Generative Pretrained Transformer to Support Risk Identification in Tunnel Projects

MA Isah, BS Kim - Journal of Construction Engineering and …, 2025 - ascelibrary.org
Risk identification is fundamental to effective risk management in any construction project. It
is especially true for tunnel projects where technicality and complexity increase the risks …

Intelligent Exploration of Construction Accidents Based on Knowledge Graph

H Xu, H Liao, Y Tan, B Xing, B Hou - E3S Web of Conferences, 2023 - e3s-conferences.org
The construction industry is characterized by long production cycles, poor mobility of
workers, various kinds of outdoor operations and complex construction processes, leading …

SMDKGG: A Socially Aware Metadata Driven Knowledge Graph Generation for Disaster Tweets

E Bhaveeasheshwar, G Deepak - … on Applied Machine Learning and Data …, 2022 - Springer
Abstract Knowledge Graph Generation is a requisite in the modern era, where Knowledge is
scarce whereas the data is exponentially surplus and extensively high. So, in this paper …

OntoKnowNHS: Ontology Driven Knowledge Centric Novel Hybridised Semantic Scheme for Image Recommendation Using Knowledge Graph

KCN Hybridised - Knowledge Graphs and Semantic Web: Third …, 2021 - books.google.com
Multimedia content is increasing immensely as there are various websites available to
upload images. Image retrieval is a method of searching for, viewing, and retrieving images …

FSOL: Financial Document Recommendation Using Hybridized Semantics Oriented Learning

M Vijay, G Deepak, A Santhanavijayan - International Conference on …, 2023 - Springer
Extracting financial documents from the structured World Wide Web is a complex and
tedious task due to their scientific and socio-technical relevance. This Paper proposes …