A5036637294- Semantic Web and Ontology Development
- Biomedical Ontologies and Text Mining
- Management and Reproducibility of Scientific Workflows
- Data Quality Assessment and Improvement
- Name Authority Control in Bibliographic Repositories
- Data Sharing and Stewardship in Science
- Data Stream Management Systems and Techniques
- Analysis of Gene Interaction Networks
- Data Mining Techniques and Applications
- Statistical Machine Translation and Natural Language Processing
- Scalable Peer-to-Peer Network Architectures
- QoS-Aware Web Services Composition and Semantic Matching
- RNA Sequencing Data Analysis
- Symbiotic Nitrogen Fixation in Legumes
- Web Data Extraction and Crawling Techniques
- Bibliometric Analysis and Research Evaluation
- Halal Tourism and Consumer Behavior
- Genetic Diversity and Improvement of Soybean
- Automated Analysis of Blood Cell Images
- Molecular Mechanisms of Insect Resistance to Xenobiotics
- Intercropping in Agricultural Systems
- Chitin Metabolism in Insects and Mammals
- Changing Geographies of Religion in Modernity
- Role of Literature in Museum Exhibitions
- Islamic Banking and Finance Literature Review
Hanyang University
2024
Mehran University of Engineering and Technology
2023
Sichuan Agricultural University
2022-2023
Nanjing Agricultural University
2023
Iqra University
2022
Vellore Institute of Technology University
2022
University of Engineering and Technology Lahore
2022
Ollscoil na Gaillimhe – University of Galway
2012-2020
National University of Ireland
2013-2018
The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 guiding do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability Reusability digital resources. This has likely contributed to adoption principles, because individual stakeholder communities can implement own solutions. However, it also resulted inconsistent...
The Web of Data has grown enormously over the last years. Currently, it comprises a large compendium interlinked and distributed datasets from multiple domains. Running complex queries on this often requires accessing data different endpoints within one query. abundance da tasets need for running query thus motivated considerable body work SPARQL federation systems, dedicated means to access Data. However, granularity previous evaluations such systems not allowed deriving insights concerning...
Biomedical data, e.g. from knowledge bases and ontologies, is increasingly made available following open linked data principles, at best as RDF triple data. This a necessary step towards unified access to biological sets, but this still requires solutions query multiple endpoints for their heterogeneous eventually retrieve all the meaningful information. Suggested are based on federation approaches, which require submission of SPARQL queries endpoints. Due size complexity these have be...
Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, fitness current approaches for real applications difficult to evaluate with benchmarks as they are either synthetic, too small in size and complexity or do not provide means a fine-grained evaluation. We propose LargeRDFBench, billion-triple benchmark which encompasses data well queries pertaining bio-medical use cases. state-of-the-art endpoint on this respect...
Bioinformatics research relies heavily on the ability to discover and correlate data from various sources. The specialization of life sciences over past decade, coupled with an increasing number biomedical datasets available through standardized interfaces, has created opportunities towards new methods in discovery. Despite popularity semantic web technologies tackling integrative bioinformatics challenge, there are many obstacles its usage by non-technical audiences. In particular, fully...
This paper proposes a collaborative methodology for developing semantic data models. The proposed the model development follows “meet-in-the-middle” approach. On one hand, concepts emerged in bottom-up fashion from analyzing domain and interviewing experts regarding their needs. other it followed top-down approach whereby existing ontologies, vocabularies models were analyzed integrated with model. identified elements then fed to multiphase abstraction exercise order get of derived is also...
Building Information Modelling (BIM) is a technological revolution that provides civil engineers with central digital means of managing their design construction and facilities management tasks. The primary objective this research to comprehensively analyze the role impact BIM in engineering. study highlights benefits, challenges, prospects regarding BIM. This underlines main implementation issues, which had been identified previous cross-sectional, qualitative, quantitative studies related...
Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, fitness current approaches for real applications difficult to evaluate with benchmarks as they are either synthetic, too small in size and complexity or do not provide means a fine-grained evaluation. We propose LargeRDFBench, billion-triple benchmark which encompasses data well queries pertaining bio-medical use cases. state-of-the-art endpoint on this respect...
Access to hundreds of knowledge bases has been made available on the Web through public SPARQL endpoints. Unfortunately, few endpoints publish descriptions their content (e.g., using VoID). It is thus unclear how agents can learn about a given endpoint or, relatedly, find with relevant needs. In this paper, authors investigate feasibility system that gathers information by querying them directly own content. With advent 1.1 and features such as aggregates, it now possible specify queries...
A significant portion of the LOD cloud consists Life Sciences data sets, which together contain billions clinical facts that interlink to form a "Web Clinical Data". However, tools for new publishers find relevant datasets could potentially be linked are missing, particularly in specialist domain-specific settings. Based on set keywords extracted from local dataset, this paper proposes methods automatically identify public SPARQL endpoints list candidates.
The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community amongst practitioners to search data, in past years. Inspired by results from traditional databases, different approaches for managing federation over SPARQL Endpoints been introduced. is standardised query language RDF, default data model used deployments are a popular access mechanism provided many Open (LOD) repositories. In this paper, we...