A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era

França, Reinaldo Padilha; Monteiro, Ana Carolina Borges; Arthur, Rangel; Iano, Yuzo

doi:10.1007/978-3-030-64619-6_3

Cited by 1 publication

(1 citation statement)

References 41 publications

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“…According to [83], semantic web technology enables the creation of machine-readable data that can be easily interpreted by computers, leading to more intelligent and effective search results. In [84] the authors further explain how query technologies can be developed to enable semantic search in the context of the semantic sensor web, where sensors generate large amounts of data that require sophisticated search and analysis tools.…”

Section: Artificial Intelligence and User Modelling In Service Of Use...mentioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

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Among the primary aims of Artificial Intelligence (AI) is the enhancement of User Experience (UX) by providing deep understanding, profound empathy, tailored assistance, useful recommendations, and natural communication with human interactants while they are achieving their goals through computer use. To this end, AI is used in varying techniques to automate sophisticated functions in UX and thereby changing what UX is apprehended by the users. This is achieved through the development of intelligent interactive systems such as virtual assistants, recommender systems, and intelligent tutoring systems. The changes are well received, as technological achievements but create new challenges of trust, explainability and usability to humans, which in turn need to be amended by further advancements of AI in reciprocity. AI can be utilised to enhance the UX of a system while the quality of the UX can influence the effectiveness of AI. The state of the art in AI for UX is constantly evolving, with a growing focus on designing transparent, explainable, and fair AI systems that prioritise user control and autonomy, protect user data privacy and security, and promote diversity and inclusivity in the design process. Staying up to date with the latest advancements and best practices in this field is crucial. This paper conducts a critical analysis of published academic works and research studies related to AI and UX, exploring their interrelationship and the cause-effect cycle between the two. Ultimately, best practices for achieving a successful interrelationship of AI in UX are identified and listed based on established methods or techniques that have been proven to be effective in previous research reviewed.

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Section: Artificial Intelligence and User Modelling In Service Of Use...mentioning

confidence: 99%

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Virvou¹

2023

IDT

View full text Add to dashboard Cite

show abstract

A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era

Cited by 1 publication

References 41 publications

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art

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