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OMiLAB Community of Practice » OMiLAB@UBB FSEGA » Digital Innovation Environment » Publications » Publication View

Pattern-based Transformation of Diagrammatic Conceptual Models for Semantic Enrichment in the Web of Data


Robert Andrei Buchmann and Dimitris Karagiannis

The goal of this paper is to bridge the paradigms of Linked Data and Conceptual Modeling, which have been developed from quite distinct concerns, although certain opportunities may stimulate the evolution of the Web towards a new type of knowledge space driven by diagrammatic models. To this end, the work at hand investigates structural patterns in a multitude of modeling languages accumulated over time within the Open Model Initiative Laboratory and defines for each pattern transformation rules that produce graph-based model serializations, thus enabling the processing of diagrammatic models using the Web of Data tech-nological space and practices.

Links

  • https://www.sciencedirect.com/science/article/pii/S1877050915022413
  • doi:https://doi.org/10.1016/j.procs.2015.08.114

Cite as

Robert Andrei Buchmann, Dimitris Karagiannis: Pattern-based Transformation of Diagrammatic Conceptual Models for Semantic Enrichment in the Web of Data. In: Procedia Computer Science, vol. 60, pp. 150-159, 2015, ISSN: 1877-0509, (Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings).

BibTeX (Download)

@article{BUCHMANN2015150,
title = {Pattern-based Transformation of Diagrammatic Conceptual Models for Semantic Enrichment in the Web of Data},
author = {Robert Andrei Buchmann and Dimitris Karagiannis},
url = {https://www.sciencedirect.com/science/article/pii/S1877050915022413},
doi = {https://doi.org/10.1016/j.procs.2015.08.114},
issn = {1877-0509},
year  = {2015},
date = {2015-01-01},
journal = {Procedia Computer Science},
volume = {60},
pages = {150-159},
abstract = {The goal of this paper is to bridge the paradigms of Linked Data and Conceptual Modeling, which have been developed from quite distinct concerns, although certain opportunities may stimulate the evolution of the Web towards a new type of knowledge space driven by diagrammatic models. To this end, the work at hand investigates structural patterns in a multitude of modeling languages accumulated over time within the Open Model Initiative Laboratory and defines for each pattern transformation rules that produce graph-based model serializations, thus enabling the processing of diagrammatic models using the Web of Data tech-nological space and practices.},
note = {Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceedings},
keywords = {Conceptual modeling, Graph databases, Linked Data, Web of Data},
pubstate = {published},
tppubtype = {article}
}

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