A5010414972- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Advanced Database Systems and Queries
- AI-based Problem Solving and Planning
- Scientific Computing and Data Management
- Logic, Reasoning, and Knowledge
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Multi-Agent Systems and Negotiation
- Neural Networks and Applications
- Complex Network Analysis Techniques
- Business Process Modeling and Analysis
- Natural Language Processing Techniques
- Access Control and Trust
- Topic Modeling
- Big Data and Business Intelligence
- Web Data Mining and Analysis
- Peer-to-Peer Network Technologies
- Computability, Logic, AI Algorithms
- Constraint Satisfaction and Optimization
- Data Visualization and Analytics
- Data Management and Algorithms
- Distributed and Parallel Computing Systems
- Cognitive Computing and Networks
- Model-Driven Software Engineering Techniques
Rensselaer Polytechnic Institute
2016-2025
Association for Computing Machinery
2023
Universidad del Noreste
2023
Nanjing University
2023
Apple (United Kingdom)
2023
University of North Carolina Health Care
2023
University of North Carolina at Chapel Hill
2023
Albany Research Institute
2016
Bath Spa University
2016
De Montfort University
2013
Many challenges of bringing communicating multi-agent systems to the World Wide Web require ontologies. The integration agent technology and ontologies could significantly affect use services ability extend programs perform tasks for users more efficiently with less human intervention.
The Web has drastically changed the availability of electronic information, but its success and exponential growth have made it increasingly difficult to find, access, present maintain such information for a wide variety users. In reaction this bottleneck many new research initiatives commercial enterprises been set up enrich available with machine-processable semantics. paper considers how semantic will provide intelligent access heterogeneous distributed enabling software products (agents)...
The growth of Web-based social networking and the properties those networks have created great potential for producing intelligent software that integrates a user's network preferences. Our research looks particularly at assigning trust in investigates how information can be mined integrated into applications. This article introduces definition suitable use with discussion will influence its computation. We then present two algorithms inferring relationships between individuals are not...
With access control and encryption no longer capable of protecting privacy, laws systems are needed that hold people accountable for the misuse personal information, whether public or secret.
In this paper, we present FilmTrust, a website that integrates Semantic Web-based social networks, augmented with trust, to create predictive movie recommendations. We show how these recommendations are more accurate than other techniques in certain cases, and discuss technique as mechanism of Web interaction.
The Web must be studied as an entity in its own right to ensure it keeps flourishing and prevent unanticipated social effects.
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin international immersion programs. However, research multi-modal spoken dialogue L2 combined with immersive technologies collaborative is thin, limiting students’ experiences solo interactions focused mostly on vocabulary grammar such settings. We intend fill this gap as we present Cognitive Immersive...
Abstract Explainable machine learning for molecular toxicity prediction is a promising approach efficient drug development and chemical safety. A predictive ML model of can reduce experimental cost time while mitigating ethical concerns by significantly reducing animal clinical testing. Herein, we use deep framework simultaneously modeling in vitro, vivo, data. Two different input representations are used; Morgan fingerprints pre-trained SMILES embeddings. multi-task accurately predicts all...