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Conceptual Graphs Based Modeling of Semi-structured Data

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Abstract

Due to the fast growing of data in the digital world, not only in volume but also in its variety (structured, un-structured or hybrid), traditional RDBMS are complemented with a rich set of systems, known as NoSQL. One of the main categories of NoSQL databases are document stores which are specifically designed to handle semi-structured data, for instance XML documents. In this paper, we present a modeling method for semi-structured data based on Conceptual Graphs and exemplify the method on an XML document. The expressive power of Conceptual Graphs makes them particularly suitable for conceptual modeling of semi-structured data.

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Notes

  1. 1.

    Due to obvious space reasons, we have not included the complete XML schema (referred as UniversityXSD in the following) and the corresponding XML document, but they can be consulted at http://www.cs.ubbcluj.ro/~fca/semistructured-data/.

References

  1. Cattell, R.: Scalable SQL and NoSQL data stores. SIGMOD Rec. 39(4), 12–27 (2011)

    Article  Google Scholar 

  2. Dau, F.: The Logic System of Concept Graphs with Negation. And Its Relationship to Predicate Logic. LNCS, vol. 2892. Springer, Heidelberg (2003). https://doi.org/10.1007/b94030

    Chapter  Google Scholar 

  3. Dau, F., Hereth, J.C.: Nested concept graphs: mathematical foundations and applications for databases. In: Using Conceptual Structures. Contributions to ICCS, pp. 125–139. Shaker Verlag, Aachen (2003)

    Google Scholar 

  4. Lloret-Gazo, J.: A survey on visual query systems in the web era. In: Hartmann, S., Ma, H. (eds.) DEXA 2016. LNCS, vol. 9828, pp. 343–351. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-44406-2_28

    Chapter  Google Scholar 

  5. Molnar, A., Varga, V., Sacarea, C.: Conceptual graph driven modeling and querying methods for RDMBS and XML databases. In: Proceedings of the 13th International Conference on Intelligent Computer Communication and Processing, ICCP 2017, pp. 55–62. IEEE (2017)

    Google Scholar 

  6. Molnar, A., Varga, V., Sacarea, C.: Conceptual graphs based modeling and querying of XML data. In: Proceedings of the 25th International Conference on Software, Telecommunications and Computer Networks, SoftCOM, pp. 23–28. IEEE (2017)

    Google Scholar 

  7. Munroe, K.D., Papakonstantiou, Y.: BBQ: a visual interface for integrated browsing and querying of XML. In: Arisawa, H., Catarci, T. (eds.) Advances in Visual Information Management. ITIFIP, vol. 40, pp. 277–296. Springer, Boston, MA (2000). https://doi.org/10.1007/978-0-387-35504-7_18

    Chapter  Google Scholar 

  8. Sowa, J.F.: Conceptual graphs for a database interface. IBM J. Res. Dev. 20(4), 336–357 (1976)

    Article  Google Scholar 

  9. Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Boston (1984)

    Google Scholar 

  10. Varga, V., Janosi-Rancz, K.T., Kalman, B.: Conceptual design of document NoSQL database with formal concept analysis. Acta Polytech. Hung. 13(2), 229–248 (2016)

    Google Scholar 

  11. Varga, V., Sacarea, C., Takacs, A.: Conceptual graphs based representation and querying of databases. In: Proceedings of the International Conference on Automation, Quality and Testing, Robotics (AQTR), vol. 03, pp. 1–6. IEEE (2010)

    Google Scholar 

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Correspondence to Viorica Varga .

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Varga, V., Săcărea, C., Molnar, A.E. (2018). Conceptual Graphs Based Modeling of Semi-structured Data. In: Chapman, P., Endres, D., Pernelle, N. (eds) Graph-Based Representation and Reasoning. ICCS 2018. Lecture Notes in Computer Science(), vol 10872. Springer, Cham. https://doi.org/10.1007/978-3-319-91379-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-91379-7_13

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  • Online ISBN: 978-3-319-91379-7

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