Data Technologies and Applications: Volume 57 Issue 2

Property Assertion Constraints for ontologies and knowledge graphs

Henrik Dibowski

The curation of ontologies and knowledge graphs (KGs) is an essential task for industrial knowledge-based applications, as they rely on the contained knowledge to be correct and…

Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches

Ziming Zeng, Tingting Li, Jingjing Sun, Shouqiang Sun, Yu Zhang

The proliferation of bots in social networks has profoundly affected the interactions of legitimate users. Detecting and rejecting these unwelcome bots has become part of the…

Impact on recommendation performance of online review helpfulness and consistency

Jaeseung Park, Xinzhe Li, Qinglong Li, Jaekyeong Kim

The existing collaborative filtering algorithm may select an insufficiently representative customer as the neighbor of a target customer, which means that the performance in…

ABEE: automated bio entity extraction from biomedical text documents

Ashutosh Kumar, Aakanksha Sharaff

The purpose of this study was to design a multitask learning model so that biomedical entities can be extracted without having any ambiguity from biomedical texts.

A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble

Hasnae Zerouaoui, Ali Idri, Omar El Alaoui

Hundreds of thousands of deaths each year in the world are caused by breast cancer (BC). An early-stage diagnosis of this disease can positively reduce the morbidity and mortality…

Social support on Reddit for antiretroviral therapy

Yue Ming

Social media platforms such as Reddit can be used as a place for people with shared health problems to share knowledge and support. Previous studies have focused on the overall…

Do SEC filings indicate any trends? Evidence from the sentiment distribution of forms 10-K and 10-Q with FinBERT

Hyogon Kim, Eunmi Lee, Donghee Yoo

This study quantified companies' views on the COVID-19 pandemic with sentiment analysis of US public companies' disclosures. The study aims to provide timely insights to…