A5009402187- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Advanced Database Systems and Queries
- Data Quality and Management
- Natural Language Processing Techniques
- Data Mining Algorithms and Applications
- Open Education and E-Learning
- Online Learning and Analytics
- Topic Modeling
- Rough Sets and Fuzzy Logic
- AI-based Problem Solving and Planning
- Privacy, Security, and Data Protection
- Scientific Computing and Data Management
- Music and Audio Processing
- Advanced Graph Neural Networks
- Context-Aware Activity Recognition Systems
- Graph Theory and Algorithms
- Business Process Modeling and Analysis
- Data Management and Algorithms
- Library Science and Information Systems
- Advanced Text Analysis Techniques
- Web Data Mining and Analysis
- Data Stream Mining Techniques
- Research Data Management Practices
Laboratoire Lorrain de Recherche en Informatique et ses Applications
2003-2025
Université de Lorraine
2006-2024
Centre National de la Recherche Scientifique
2005-2024
Ollscoil na Gaillimhe – University of Galway
2017-2023
Institut national de recherche en informatique et en automatique
2003-2023
University College Dublin
2023
National University of Ireland
2017-2018
The Open University
2008-2017
Open Knowledge (United Kingdom)
2007-2017
Universidade Aberta
2010-2016
First-generation Semantic Web applications typically use one ontology—or at most, a few—that ontology engineers built, selected, and integrated design time. In contrast, the next generation of will dynamically exploit as large-scale source distributed knowledge. The authors have implemented several next-generation gained, in process, insights about Web's current status, strengths, limitations. An analysis their initial results also indicates near-future directions for Web, well upcoming...
Abstract Ontology evolution aims at maintaining an ontology up to date with respect changes in the domain that it models or novel requirements of information systems enables. The recent industrial adoption Semantic Web techniques, which rely on ontologies, has led increased importance research. Typical approaches are designed as multiple-stage processes combining techniques from a variety fields (e.g., natural language processing and reasoning). However, few existing surveys this topic lack...
In this tool report, we present an overview of the Watson system, a Semantic Web search engine providing various functionalities not only to find and locate ontologies semantic data online, but also explore content these docume
Addressing ethical issues arising from AI research, and by extension most areas of Data Science, is a core challenge in both the academic industry worlds. The nature research specific set technical skills involved imply that Science researchers are not equipped to identify anticipate such arising, or establish solutions at time project being designed. In this paper, we discuss need for methodology design involves broader start project. We specifically identify, relevant literature,...
How can we innovate smart systems for cities, to make data available homogeneously, inexpensively, and flexibly while supporting an array of applications that have yet exist or be specified?
The goal of this work is to describe how robots interact with complex city environments, and identify the main characteristics an emerging field that we call Robot–City Interaction (RCI). Given central role recently gained by modern cities as use cases for deployment advanced technologies, advancements achieved in robotics recent years, assume there increasing interest both integrating urban ecosystems, studying they can benefit from each others. Therefore, our challenge becomes verify...
In this research note, we present a preliminary study of available web datasets related to education, providing an overview area and, more importantly, highlighting how such linked form globally addressable network resources for education. As expected, certain level heterogeneity was found. We therefore also show minor integration effort can improve the global cohesion educational data.
Kasimir is a case‐based decision support system in the domain of breast cancer treatment. For this system, problem given by description patient and solution set therapeutic decisions. Given target problem, provides several suggestions solutions, based on justified adaptations source cases. Such adaptation processes are knowledge. The acquisition kind knowledge from experts presented paper. It shown how decomposition introduction intermediate problems can highlight simple generalizable steps....