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CoolMind: Collaborative, Ontology-Based Intelligent Knowledge Engineering for e-Society

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On the Move to Meaningful Internet Systems: OTM 2015 Workshops (OTM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9416))

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Abstract

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.

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References

  1. Meersman, R., Debruyne, C.: Hybrid ontologies and social semantics. In: Proceedings of 4th IEEE Int. Conf. on Digital Ecosystems and Technologies (2010)

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Correspondence to Ioana Ciuciu .

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© 2015 Springer International Publishing Switzerland

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Ciuciu, I., Pârv, B. (2015). CoolMind: Collaborative, Ontology-Based Intelligent Knowledge Engineering for e-Society. In: Ciuciu, I., et al. On the Move to Meaningful Internet Systems: OTM 2015 Workshops. OTM 2015. Lecture Notes in Computer Science(), vol 9416. Springer, Cham. https://doi.org/10.1007/978-3-319-26138-6_48

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  • DOI: https://doi.org/10.1007/978-3-319-26138-6_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26137-9

  • Online ISBN: 978-3-319-26138-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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