A tutorial on meta-services and services computing in metaverse

Q Wei, H Wu, F Shi, Y Wan… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The metaverse, as a paradigm continuously evolving in the next generation of the Internet,
aims to integrate various network applications. However, existing applications on the …

[HTML][HTML] Cluster-based knowledge graph and entity-relation representation on tourism economical sentiments

RK Mishra, H Raj, S Urolagin, JAA Jothi, N Nawaz - Applied Sciences, 2022 - mdpi.com
The tourism industry has experienced fast and sustainable growth over the years in the
economic sector. The data available online on the ever-growing tourism sector must be …

[PDF][PDF] SKG4EOSC-Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC

M Stocker, T Heger, A Schweidtmann… - Research Ideas and …, 2022 - riojournal.com
In the age of advanced information systems powering fast-paced knowledge economies that
face global societal challenges, it is no longer adequate to express scholarly information-an …

MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed

H Turki, BFP Dossou, CC Emezue… - Journal of Biomedical …, 2024 - Springer
Biomedical relation classification has been significantly improved by the application of
advanced machine learning techniques on the raw texts of scholarly publications. Despite …

A scholarly knowledge graph-powered dashboard: Implementation and user evaluation

O Lezhnina, G Kismihók, M Prinz, M Stocker… - Frontiers in Research …, 2022 - frontiersin.org
Scholarly knowledge graphs provide researchers with a novel modality of information
retrieval, and their wider use in academia is beneficial for the digitalization of published …

[PDF][PDF] MeSH2Matrix: Machine learning-driven biomedical relation classification based on the MeSH keywords of PubMed scholarly publications.

H Turki, BFP Dossou, CC Emezue, MAH Taieb… - BIR@ ECIR, 2022 - ceur-ws.org
Biomedical relation classification has been significantly improved by the application of
advanced machine learning techniques on the raw texts of scholarly publications. Despite …

Scientific knowledge graph creation and analysis

A Kalla, R Shailesh, S Preetha… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Reviewing the internet for research often tends to be a time-intensive process. With a rapid
increase in data available on the internet, one's research can easily be swayed as there is a …

How knowledge-driven class generalization affects classical machine learning algorithms for mono-label supervised classification

H Turki, MA Hadj Taieb, M Ben Aouicha - International Conference on …, 2021 - Springer
Beyond class imbalance and the sample size per class, this research paper studies the
effect of knowledge-driven class generalization (KCG) on the accuracy of classical machine …

Knowledge Graphs in Smart Digital Libraries

P Meesad, A Mingkhwan - Libraries in Transformation: Navigating to AI …, 2024 - Springer
Abstract Knowledge graphs have emerged as a powerful paradigm for organizing and
integrating structured knowledge in smart digital libraries (SDLs). This chapter provides an …

Report on the 11th bibliometric-enhanced information retrieval workshop (BIR 2021)

I Frommholz, G Cabanac, P Mayr, S Verberne - ACM SIGIR Forum, 2021 - dl.acm.org
The 11th Bibliometric-enhanced Information Retrieval Workshop (BIR 2021) was held online
on April 1st, 2021, at ECIR 2021 as a virtual event. The interdisciplinary BIR workshop series …