Logic-based technologies for intelligent systems: State of the art and perspectives
Together with the disruptive development of modern sub-symbolic approaches to artificial
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …
Dynamic sensor data segmentation for real-time knowledge-driven activity recognition
Approaches and algorithms for activity recognition have recently made substantial progress
due to advancements in pervasive and mobile computing, smart environments and ambient …
due to advancements in pervasive and mobile computing, smart environments and ambient …
[HTML][HTML] KRYSTAL: Knowledge graph-based framework for tactical attack discovery in audit data
Attack graph-based methods are a promising approach towards discovering attacks and
various techniques have been proposed recently. A key limitation, however, is that …
various techniques have been proposed recently. A key limitation, however, is that …
[HTML][HTML] Improving the documentation and findability of data services and repositories: A review of (meta) data management approaches
T Řezník, L Raes, A Stott, B De Lathouwer… - Computers & …, 2022 - Elsevier
This scientific review paper aims at challenging a common point of view on metadata as a
necessary evil and something mandatory to the data creating and dataset publishing …
necessary evil and something mandatory to the data creating and dataset publishing …
Wsmo-lite annotations for web services
Abstract Current efforts in Semantic Web Services do not sufficiently address the industrial
developments of SOA technology in regards to bottom-up modeling of services, that is …
developments of SOA technology in regards to bottom-up modeling of services, that is …
A novel framework for the generation of multiple choice question stems using semantic and machine-learning techniques
Abstract Multiple Choice Questions (MCQs) are a popular assessment method because they
enable automated evaluation, flexible administration and use with huge groups. Despite …
enable automated evaluation, flexible administration and use with huge groups. Despite …
Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes
Activity recognition is essential in providing activity assistance for users in smart homes.
While significant progress has been made for single-user single-activity recognition, it still …
While significant progress has been made for single-user single-activity recognition, it still …
Survey on ontology languages
D Kalibatiene, O Vasilecas - … Conference, BIR 2011, Riga, Latvia, October …, 2011 - Springer
Nowadays a number of papers are presented on the research for the ontology application
for a business system modelling. For this purpose formal and executable ontologies earn a …
for a business system modelling. For this purpose formal and executable ontologies earn a …
Efficient IoT resource discovery approach based on P2P networks and Fog Computing
Abstract The Internet of Things (IoT) objects, their provided resources and services, as well
as their users, and the requests for these resources, are increasing. Consequently, it is …
as their users, and the requests for these resources, are increasing. Consequently, it is …
Construction of a base ontology to represent accident expertise knowledge
S Sonfack Sounchio, B Kamsu-Foguem… - Cognition, Technology & …, 2023 - Springer
Expertise is an activity carried out by experts that contributes to societal progress, as it helps
to elucidate unknown situations. For example, accident expertise eases accident …
to elucidate unknown situations. For example, accident expertise eases accident …