Present and future of semantic web technologies: a research statement
Semantic web and its technologies have been eyed in many fields. They have the capacity
to organize and link data over the web in a consistent and coherent way. Semantic web …
to organize and link data over the web in a consistent and coherent way. Semantic web …
[HTML][HTML] The power of emotions: Leveraging user generated content for customer experience management
Customer experience management (CEM) in the social media age finds itself needing to
adapt to a rapidly changing digital environment and hence there is a need for innovative …
adapt to a rapidly changing digital environment and hence there is a need for innovative …
Charting past, present, and future research in the semantic web and interoperability
Huge advances in peer-to-peer systems and attempts to develop the semantic web have
revealed a critical issue in information systems across multiple domains: the absence of …
revealed a critical issue in information systems across multiple domains: the absence of …
Interdisciplinary iot and emotion knowledge graph-based recommendation system to boost mental health
A Gyrard, K Boudaoud - Applied Sciences, 2022 - mdpi.com
Humans are feeling emotions every day, but they can still encounter difficulties
understanding them. To better understand emotions, we integrated interdisciplinary …
understanding them. To better understand emotions, we integrated interdisciplinary …
Knowledge engineering framework for IoT robotics applied to smart healthcare and emotional well-being
Social companion robots are getting more attention to assist elderly people to stay
independent at home and to decrease their social isolation. When develo** solutions, one …
independent at home and to decrease their social isolation. When develo** solutions, one …
An ontology-based framework for psychological monitoring in education during the covid-19 pandemic
Background Especially in the current crisis of the COVID-19 pandemic and the lockdown it
entailed, technology became crucial. Machines need to be able to interpret and represent …
entailed, technology became crucial. Machines need to be able to interpret and represent …
Non-acted text and keystrokes database and learning methods to recognize emotions
The modern computing applications are presently adapting to the convenient availability of
huge and diverse data for making their pattern recognition methods smarter. Identification of …
huge and diverse data for making their pattern recognition methods smarter. Identification of …
ALDONA: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalised domain ontology and a neural attention model
D Meškelė, F Frasincar - Proceedings of the 34th ACM/SIGAPP …, 2019 - dl.acm.org
Sentences containing several different polarity aspects cause one of the main problems in
sentiment analysis. Depending on an aspect, the same context words can have different …
sentiment analysis. Depending on an aspect, the same context words can have different …