A5056324053- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Natural Language Processing Techniques
- Data Quality and Management
- Advanced Database Systems and Queries
- Topic Modeling
- Advanced Graph Neural Networks
- Data Management and Algorithms
- Bioinformatics and Genomic Networks
- Scientific Computing and Data Management
- Image Retrieval and Classification Techniques
- Computational Drug Discovery Methods
- Web Data Mining and Analysis
- Data Visualization and Analytics
- Business Process Modeling and Analysis
- Advanced Computational Techniques and Applications
- Species Distribution and Climate Change
- Cognitive Computing and Networks
- Genomics and Rare Diseases
- Cognitive Science and Mapping
- Gene expression and cancer classification
- Retinal Imaging and Analysis
- Graph Theory and Algorithms
- Big Data and Business Intelligence
University of Oslo
2016-2024
City, University of London
2009-2024
University of London
2021-2023
Infor (Norway)
2009-2020
University College London
2020
The Alan Turing Institute
2018-2019
University of Oxford
2010-2018
Science Oxford
2010-2016
National Research Council
2015
Universitat Jaume I
2006-2011
Abstract Semantic embedding of knowledge graphs has been widely studied and used for prediction statistical analysis tasks across various domains such as Natural Language Processing the Web. However, less attention paid to developing robust methods OWL (Web Ontology Language) ontologies, which contain richer semantic information than plain graphs, have adopted in bioinformatics. In this paper, we propose a random walk word based ontology method named , encodes semantics an by taking into...
Optique overcomes problems in current ontology-based data access systems pertaining to installation overhead, usability, scalability, and scope by integrating a user-oriented query interface, semi-automated managing methods, new rewriting techniques, temporal streaming processing one platform.
Automatically annotating column types with knowledge base (KB) concepts is a critical task to gain basic understanding of web tables. Current methods rely on either table metadata like name or entity correspondences cells in the KB, and may fail deal growing tables incomplete meta information. In this paper we propose neural network based type annotation framework named ColNet which able integrate KB reasoning lookup machine learning can automatically train Convolutional Neural Networks for...
Abstract Despite progress in the development of standards for describing and exchanging scientific information, lack easy-to-use mapping between different representations same or similar objects databases poses a major impediment to data integration interoperability. Mappings often metadata needed be correctly interpreted applied. For example, are two terms equivalent merely related? Are they narrow broad matches? Or associated some other way? Such relationships mapped not documented, which...
In recent years, the recognition of semantic types from biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) ontology terms (GO terms). Other diseases have not received same level attention. Different solutions proposed to identify disease in literature. While matching terminology with language patterns suffers low recall (e.g., Whatizit) other make use morpho-syntactic features better cover full scope terminological variability MetaMap)....
The UMLS Metathesaurus (UMLS-Meta) is currently the most comprehensive effort for integrating independently-developed medical thesauri and ontologies. UMLS-Meta being used in many applications, including PubMed ClinicalTrials.gov. integration of new sources combines automatic techniques, expert assessment, auditing protocols. techniques use, however, are mostly based on lexical algorithms often disregard semantics integrated.In this paper, we argue that UMLS-Meta's current design...
An important application of semantic technologies in industry has been the formalisation information models using OWL 2 ontologies and use RDF for storing exchanging data. Moreover, legacy data can be virtualised as following ontology-based ac cess (OBDA) approach. In all these applications, it is to provide domain experts with query formulation tools expressing their needs terms queries over ontologies. this work, we present such a tool, OptiqueVQS, which designed based on our experience...