hackAIR Ontologies
hackAIR Ontologies
The current version of the hackAIR ontologies consists of three interconnected sub-ontologies:
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hackAIR TBox Ontology
The hackAIR TBox ontology is the basic model that specifies the terminological knowledge (i.e. schema, concepts and relations) of the domain(s) of interest. [TTL file][Docs]
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hackAIR ABox Ontology
The hackAIR ABox ontology imports the hackAIR TBox ontology and contains the assertions (i.e. individuals/instances and values) of real data that comply with the defined schema. [TTL file][Docs]
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hackAIR SPIN Ontology
The hackAIR SPIN ontology imports both hackAIR ABox and TBox and implements a set of SPIN rules for the interpretation of information stored in the schema (TBox) and the assertions (ABox), in a uniform, automatic and semantically related way. More specifically, its rules handle/perform the automatic inference and personalised recommendation provision by the hackAIR platform. [TTL file][Docs]
Acknowledgements
This work was supported by the EU Horizon 2020 research and innovation programme hackAIR under Grant Agreement No.688363.
Citation
Riga M., Kontopoulos E., Karatzas K., Vrochidis S. and Kompatsiaris I. (2018), An Ontology-based Decision Support Framework for Personalized Quality of Life Recommendations. In: Dargam F., Delias P., Linden I., Mareschal B. (eds) Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. 4th International Conference on Decision Support System Technology (ICDSST 2018). Lecture Notes in Business Information Processing (LNBIP), Volume 313, Springer, Cham. doi: https://doi.org/10.1007/978-3-319-90315-6_4.