Results 41 to 50 of about 222,108 (309)

Reasoning about Social Semantic Web Applications using String Similarity and Frame Logic [PDF]

open access: yes, 2010
Social semantic Web or Web 3.0 application gained major attention from academia and industry in recent times. Such applications try to take advantage of user supplied meta data, using ideas from the semantic Web initiative, in order to provide better ...
Cubrilo, Mirko   +2 more
core  

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites

open access: yesAdvanced Science, EarlyView.
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang   +6 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

TRANSFORMATION OF SOCIAL PRACTICES OF RESPONSIBLE FATHERHOOD INTO DEVIANT FORMS OF SOCIAL ACTIVITY

open access: yesВекторы благополучия: экономика и социум, 2021
The study of social practices of responsible fatherhood is relevant at the present time in the context of the transformation of the institution of fatherhood.
Anna Yu. Karpova   +2 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Metacognitive Learning Environment: a semantic perspective

open access: yesJe-LKS: Journal of E-Learning and Knowledge Society, 2011
In the last years, Knowledge Technologies have been exploited to realize innovative and challenging self-regulation scenarios in e-learning systems. The learning environments as metacognitive artifact suitably scaffolding learners to improve their self
Matteo Gaeta   +3 more
doaj   +1 more source

Scalable methods to analyze Semantic Web data [PDF]

open access: yes, 2016
Semantic Web data is currently being heavily used as a data representation format in scientific communities, social networks, business companies, news portals and other domains. The irruption and availability of Semantic Web data is demanding new methods
Nebot Romero, Victoria
core   +2 more sources

Applied Artificial Intelligence in Materials Science and Material Design

open access: yesAdvanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel   +7 more
wiley   +1 more source

SiFo-Peers: A Social FOAF Based Peer-to-Peer Network [PDF]

open access: yes, 2015
In this paper, an attempt is made to conceptually unite three different application areas for semantic technologies, namely personal Knowledge Management, social networking, and Peer-to-Peer information-sharing.
Breslin, John G   +3 more
core   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

open access: yesAdvanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy