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A Data Mining Approach for Species Co-occurrence Prediction- A Framework for Efficient Matching of Large-Scale Metadata Models
- ADOnIS: An ontology-based information system providing seamless integration of structured and unstructured data
- BioOntoVis: An Ontology Visualization Tool
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- Combining P-Plan and the REPRODUCE-ME Ontology to Achieve Semantic Enrichment of Scientific Experiments using Interactive Notebooks
- Comparison and Evaluation of Ontologies for Units of Measurement
- Convective excitation of inertial modes in binary neutron star mergers
- Holistic Multiple Ontologies Merging
- Issues and Suggestions for the Development of a Biodiversity Data Visualization Support Tool
- Ontology ABox Comparison
- Proceedings of the ‘10th International Conference on Ecological Informatics: translating ecological data into knowledge and decisions in a rapidly changing world
- ProvBook: Provenance-based Semantic Enrichment of Interactive Notebooks for Reproducibility
- Querying Heterogeneous Data in an In-situ Unified Agile System
- Refined Methodology for Accurately Detecting Objects from Digitized Herbarium Specimens
- Research data management in action – demonstrating the full range of features of the BEXIS 2 platform
- Specimen-GT tool: Ground Truth Annotation tool for herbarium Specimen images
- The Story of an Experiment:A Provenance-based Semantic Approach towards Research Reproducibility
- Towards an Ecological Trait-data Standard
- Towards FAIR data in Biodiversity Exploratories project
- TraitEx: tool for measuring morphological functional traits from digitized herbarium specimens
- Visrepo: A Centralized and Open Source Visualization Repository and Knowledgebase
ADOnIS: An ontology-based information system providing seamless integration of structured and unstructured data
| Title: | ADOnIS: An ontology-based information system providing seamless integration of structured and unstructured data |
|---|---|
| Authors: | Alsayed Algergawy, Friederike Klan, Erik Faessler, Hamdi Hamed, Bernd Kampe, Birgitta König-Ries and Udo Hahn |
| Source: | 11th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2018) |
| Place: | Antwerp, Belgium |
| Date: | 2018-12-03 |
| Type: | Poster |
| Abstract: |
Scientific information is contained in structured data like spreadsheets data as well as unstructured data like text. For example, the scientific results can be expressed as one or more data sets that contain main characteristics of the scientific process and one or more publications related to the dataset(s). From a scientist’ perspective, it is desirable to obtain seamless access to this information regardless of whether it is based on structured or unstructured data. To this end, we are developing the AquaDiva Ontology-based Information System, ADOnIS, which endeavors to provide such functionality. |