A5030268064- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Web Data Mining and Analysis
- Advanced Graph Neural Networks
- Electronic Health Records Systems
- Machine Learning in Healthcare
- Information Retrieval and Search Behavior
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Tracheal and airway disorders
- Chronic Disease Management Strategies
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Privacy-Preserving Technologies in Data
- Big Data Technologies and Applications
- Healthcare cost, quality, practices
- Autophagy in Disease and Therapy
- Genetic Neurodegenerative Diseases
- Scientific Computing and Data Management
- Critical Race Theory in Education
- Cardiac, Anesthesia and Surgical Outcomes
IBM Research - Ireland
2013-2024
Imperial College London
2024
Royal College of Paediatrics and Child Health
2024
Assistance Publique – Hôpitaux de Paris
2018-2024
Hôpital Necker-Enfants Malades
2021-2024
Instituto Maimónides de Investigación Biomédica de Córdoba
2023
Hospital Universitario Reina Sofía
2023
University of Córdoba
2023
Loma Linda University
2019-2022
Maryland Institute College of Art
2017-2021
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...
While semantic search technologies have been proven to work well in specific domains, they still confront two main challenges scale up the Web its entirety. In this we address issue with a novel system that a) provides user capability query Semantic information using natural language, by means of an ontology-based Question Answering (QA) [14] and b) complements answers retrieved during QA process ranked list documents from [3]. Our results show capabilities can be used complement enhance...
Bioactive peptides are an important class of natural products with great functional diversity. Chemical modifications can improve their pharmacology, yet structural diversity presents unique challenges for computational modeling. Furthermore, data canonical (non-modified) is more abundant than non-canonical (chemically modified). We explored whether current methods sufficient to generalize from datasets. To do this, we first considered two critical aspects the modeling problem, namely choice...
Objectives/Goals: Using k-means clustering, we aimed to identify whether clusters characterized by greater exposure minority stressors (e.g., experienced/anticipated discrimination) were associated with lower moderate-vigorous physical activity (MVPA) and higher sedentary behavior among sexual gender (SGM; e.g., lesbian/gay, bisexual, transgender) adults. Methods/Study Population: SGM adults face risks of inadequate PA due stressors, which may influence their willingness ability engage in...
PowerAqua is a Question Answering system, which takes as input natural language query and able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, detail new component of Triple Similarity Service, match queries effectively triples in different ontologies Second, first evaluation addition providing data about PowerAqua's competence, also gives us important insights into issues related using Web...
Currently, techniques for content description and query processing in Information Retrieval (IR) are based on keywords, therefore provide limited capabilities to capture the conceptualizations associated with user needs contents. Aiming solve limitations of keyword-based models, idea conceptual search, understood as searching by meanings rather than literal strings, has been focus a wide body research IR field. More recently, it used prototypical scenario (or even envisioned potential...