A5068408717- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Biomedical Text Mining and Ontologies
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Data Quality and Management
- Natural Language Processing Techniques
- Topic Modeling
- Web Data Mining and Analysis
- AI-based Problem Solving and Planning
- Advanced Text Analysis Techniques
- Logic, Reasoning, and Knowledge
- Data Mining Algorithms and Applications
- Business Process Modeling and Analysis
- Big Data and Business Intelligence
- Data Visualization and Analytics
- Recommender Systems and Techniques
- Context-Aware Activity Recognition Systems
- Multi-Agent Systems and Negotiation
- Advanced Graph Neural Networks
- Constraint Satisfaction and Optimization
- Image Retrieval and Classification Techniques
- IoT and Edge/Fog Computing
- Rough Sets and Fuzzy Logic
- Web Applications and Data Management
The Open University
2015-2024
University of Rome Tor Vergata
2023-2024
Open Knowledge (United Kingdom)
2013-2023
University of Cagliari
2023
University of Milano-Bicocca
2023
University of Bergen
2020-2023
Universidade Aberta
2004-2021
Milton Keynes Hospital
2019
University of Oxford
2016
Hong Kong Metropolitan University
2003-2014
Quality journalism has become more important than ever due to the need for quality and trustworthy media outlets that can provide accurate information public help address counterbalance wide rapid spread of disinformation. At same time, is under pressure loss revenue competition from alternative providers. This vision paper discusses how recent advances in Artificial Intelligence (AI), Machine Learning (ML) particular, be harnessed support efficient production high-quality journalism. From a...
Abstract This paper presents a comprehensive review of the use Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is rigorous and organised methodology that assesses integrates prior research on given topic. Numerous tools have been developed to assist partially automate process. The increasing role AI this field shows great potential providing more effective support for researchers, moving towards semi-automatic creation literature reviews. Our study focuses how...
With the continued growth of online semantic information, processes searching and managing this massive scale heterogeneous content have become increasingly challenging. In work, we present PowerAqua, an ontologybased Question Answeri
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. With the recent rapid growth of Semantic Web (SW), processes searching and querying content that is both massive in scale heterogeneous have become increasingly challenging. User-friendly interfaces, which can support end users exploring this novel diverse, structured information space, are needed to make vision SW a reality. We present survey on ontology-based Question Answering (QA), has emerged years exploit opportunities offered by semantic Web. First, we provide comprehensive...
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...