An Open-Ended Web Knowledge Retrieval Framework for the Household Domain With Explanation and Learning Through Argumentation

Vassiliades, Alexandros; Bassiliades, Nick; Patkos, Theodore; Vrakas, Dimitris

doi:10.4018/ijswis.309421

Cited by 3 publications

(1 citation statement)

References 70 publications

(93 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To survive in this new reality, countries will need to implement new measures, policies, and habits ( Hall et al, 2021 , Bouncken et al, 2022 , Lee and Suh, 2022 ). As a result of increased food demand and the resulting strain on the supply chain, the retail sector has been forced to focus more on employee safety and health, improve hygiene in physical spaces, and better manage its workforce to ensure the well-being of the civilian population ( Trapp et al, 2022 , Rasmusen et al, 2022 , Vassiliades et al, 2022 ). In light of the fact that pandemics are likely to persist, this study aims is to determine the effects of the COVID-19 pandemic on the retail sector.…”

Section: Introductionmentioning

confidence: 99%

Analysis of retail sector research evolution and trends during COVID-19

Gupta

Gaurav

Panigrahi

2023

Technological Forecasting and Social Change

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Analysis of retail sector research evolution and trends during COVID-19

Gupta

Gaurav

Panigrahi

2023

Technological Forecasting and Social Change

View full text Add to dashboard Cite

An approach to calculate conceptual distance across multi-granularity based on three-way partial order structure

Yan,

Zhang,

Hao

et al. 2025

International Journal of Approximate Reasoning

View full text Add to dashboard Cite

Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation

Stathopoulos,

Vassiliades,

Diplaris

et al. 2024

The Knowledge Engineering Review

View full text Add to dashboard Cite

In the previous two decades, knowledge graphs (KGs) have evolved significantly, inspiring developers to build ever-more context-related KGs. Due to this development, artificial intelligence (AI) applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible. In this article, a framework that depicts functional design for indoor workspaces and urban adaptive design, in order to help architects, artists, and interior designers for the design and construction of an urban or indoor workspace, based on the emotions of human individuals, is introduced. For the creation of online adaptive environments, the framework may incorporate emotional, physiological, visual, and textual measures. Additionally, an information retrieval mechanism that extracts critical information from the framework in order to assist the architects, artists, and the interior designers is presented. The framework provides access to commonsense knowledge about the (re-)design of an urban area and an indoor workspace, by suggesting objects that need to be placed, and other modifications that can be applied to the location, in order to achieve positive emotions. The emotions referred reflect to the emotions experienced by an individual when being in the indoor or urban area, which are pointers for the functionality, the memorability, and the admiration of the location. The framework also performs semantic matching between entities from the web KG ConceptNet, using semantic knowledge from ConceptNet and WordNet, with the ones existing in the KG of the framework. The paper provides a set of predefined SPARQL templates that specifically handle the ontology upon which the knowledge retrieval system is based. The framework has an additional argumentation function that allows users to challenge the knowledge retrieval component findings. In the event that the user prevails in the reasoning, the framework will learn new knowledge.

show abstract

An Open-Ended Web Knowledge Retrieval Framework for the Household Domain With Explanation and Learning Through Argumentation

Cited by 3 publications

References 70 publications

Analysis of retail sector research evolution and trends during COVID-19

Analysis of retail sector research evolution and trends during COVID-19

An approach to calculate conceptual distance across multi-granularity based on three-way partial order structure

Applied logic and semantics on indoor and urban adaptive design through knowledge graphs, reasoning and explainable argumentation

Contact Info

Product

Resources

About