The paper proposes a collaborative and ontology-based approach for knowledge engineering adapted to e-Society applications. The approach aims to provide intuitive user-system and user-content interaction via processing and visualization of Big Data and the resulting information. Moreover, the approach ensures secured access to personal data via semantic interoperability of security policies. The approach considers large size structured and unstructured contents such as multimedia content (videos, images), web content, video games, sensor data, medical health records, medical databases, etc. We will showcase the concept with an (ongoing) medical decision support system (DS-Med) targeted at real end users and real-world test data from around the city of Cluj-Napoca.
CITATION STYLE
Ciuciu, I., & Pârv, B. (2015). CoolMind: Collaborative, ontology-based intelligent knowledge engineering for e-society. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9416, pp. 451–455). Springer Verlag. https://doi.org/10.1007/978-3-319-26138-6_48
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