The Electronic Library: Volume 42 Issue 3

Guest editorial: Recent trends in semantic web and knowledge graphs

Lino Gonzalez-Garcia, Gema González-Carreño, Ana María Rivas Machota, Juan Padilla Fernández-Vega, Miguel-Angel Sicilia, Fernando Ortiz-Rodriguez

FUKG: answering flexible queries over knowledge graphs

José Félix Yagüe, Ignacio Huitzil, Carlos Bobed, Fernando Bobillo

There is an increasing interest in the use of knowledge graphs to represent real-world knowledge and a common need to manage imprecise knowledge in many real-world applications…

Implementing Data Workflows and Data Model Extensions with RDF-star

Florian Rupp, Benjamin Schnabel, Kai Eckert

The purpose of this work is to explore the new possibilities enabled by the recent introduction of RDF-star, an extension that allows for statements about statements within the…

An approach based on open research knowledge graph for knowledge acquisition from scientific papers

Azanzi Jiomekong, Sanju Tiwari

This paper aims to curate open research knowledge graph (ORKG) with papers related to ontology learning and define an approach using ORKG as a computer-assisted tool to organize…

Enhancing knowledge graphs with microdata and LLMs: the case of Schema.org and Wikidata in touristic information

Lino Gonzalez-Garcia, Gema González-Carreño, Ana María Rivas Machota, Juan Padilla Fernández-Vega

Knowledge graphs (KGs) are structured knowledge bases that represent real-world entities and are used in a variety of applications. Many of them are created and curated from a…

Multi-feature fusion stock prediction based on knowledge graph

Zhenghao Liu, Yuxing Qian, Wenlong Lv, Yanbin Fang, Shenglan Liu

Stock prices are subject to the influence of news and social media, and a discernible co-movement pattern exists among multiple stocks. Using a knowledge graph to represent news…

The role of knowledge graphs in chatbots

Enayat Rajabi, Allu Niya George, Karishma Kumar

This study aims to investigate the applications of knowledge graphs in developing artificial intelligence (AI) assistants and chatbots by reviewing scholarly publications from…

A robust approach for aspect-based sentiment analysis using deep learning and domain ontologies

Srishti Sharma, Mala Saraswat

The purpose of this research study is to improve sentiment analysis (SA) at the aspect level, which is accomplished through two independent goals of aspect term and opinion…