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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.