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Representing Hierarchical Relationships in INM

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Conceptual Modeling (ER 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8824))

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Abstract

Real-world organizations has various natural and complex relationships with all kinds of people and other organizations. Such relationships may form complex hierarchical or composite structures. Existing data models such as relational, object-oriented, or object-relational models oversimplify even ignore these relationships and their semantics so that the semantics has to be dealt with by the applications. To solve this problem, we present a concise but expressive language to naturally and directly represent the semantics of complex relationships in the real-world entities.

This work is supported by the National Natural Science Foundation of China under Grant No. 61202100, 61272110 and China Scholarship Council under Grant No. [2013]3018.

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Liu, M., Hu, J., Chen, L., Li, X. (2014). Representing Hierarchical Relationships in INM. In: Yu, E., Dobbie, G., Jarke, M., Purao, S. (eds) Conceptual Modeling. ER 2014. Lecture Notes in Computer Science, vol 8824. Springer, Cham. https://doi.org/10.1007/978-3-319-12206-9_24

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  • DOI: https://doi.org/10.1007/978-3-319-12206-9_24

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12205-2

  • Online ISBN: 978-3-319-12206-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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