Is neuro-symbolic AI meeting its promises in natural language processing? A structured review

K Hamilton, A Nayak, B Božić, L Longo - Semantic Web, 2024‏ - content.iospress.com
Abstract Advocates for Neuro-Symbolic Artificial Intelligence (NeSy) assert that combining
deep learning with symbolic reasoning will lead to stronger AI than either paradigm on its …

Visual programming environments for end-user development of intelligent and social robots, a systematic review

E Coronado, F Mastrogiovanni, B Indurkhya… - Journal of Computer …, 2020‏ - Elsevier
Robots are becoming interactive and robust enough to be adopted outside laboratories and
in industrial scenarios as well as interacting with humans in social activities. However, the …

[HTML][HTML] The Internet of Everything: Smart things and their impact on business models

DJ Langley, J Van Doorn, ICL Ng, S Stieglitz… - Journal of Business …, 2021‏ - Elsevier
The internet of everything (IoE), connecting people, organizations and smart things,
promises to fundamentally change how we live, work and interact, and it may redefine a …

A comparison of four ontologies for the design of legal knowledge systems

PRS Visser, TJM Bench-Capon - Artificial Intelligence and law, 1998‏ - Springer
There is a growing interest in how people conceptualise the legal domain for the purpose of
legal knowledge systems. In this paper we discuss four such conceptualisations (referred to …

[ספר][B] Legal ontology engineering: Methodologies, modelling trends, and the ontology of professional judicial knowledge

N Casellas - 2011‏ - books.google.com
Enabling information interoperability, fostering legal knowledge usability and reuse,
enhancing legal information search, in short, formalizing the complexity of legal knowledge …

Distributed ontology architecture for knowledge management in highway construction

TE El-Diraby, KF Kashif - Journal of Construction Engineering and …, 2005‏ - ascelibrary.org
The ongoing plethora of rehabilitation in the infrastructure domain requires more planning
and integration during design and construction. To achieve this, there is a need for …

Representation of clinical practice guidelines in conventional and augmented decision tables

RN Shiffman - Journal of the American Medical Informatics …, 1997‏ - academic.oup.com
Objective: To develop a knowledge representation model for clinical practice guidelines that
is linguistically adequate, comprehensible, reusable, and maintainable. Design: Decision …

When deep learning meets data alignment: A review on deep registration networks (drns)

V Villena-Martinez, S Oprea, M Saval-Calvo… - Applied Sciences, 2020‏ - mdpi.com
This paper reviews recent deep learning-based registration methods. Registration is the
process that computes the transformation that aligns datasets, and the accuracy of the result …

Exploring nursing students' decision-making skills whilst in a Second Life clinical simulation laboratory

J McCallum, V Ness, T Price - Nurse Education Today, 2011‏ - Elsevier
AIM: To explore nursing students' decision-making skills through the use of a 3D virtual
environment such as Second Life. METHOD: An exploratory qualitative evaluation of the …

Application of intelligent agents in health-care

S Iqbal, W Altaf, M Aslam, W Mahmood… - Artificial Intelligence …, 2016‏ - Springer
The successful use of intelligent agents in healthcare has attracted researchers to apply this
emerging software engineering paradigm in more advanced and complex applications …