Streamlining structured data markup and agile modelling methods

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Abstract

Structured Data Markup allows Web developers to embed semantics in HTML pages, thus enabling clients (search engines, client apps etc.) to distil machine-readable resource descriptions from HTML code. This approach emerged from the Semantic Web paradigm as a powerful alternative to traditional Web scraping. Its enablers are dedicated HTML extensions (e.g., RDFa) and controlled vocabularies (e.g., Schema.org). Originating in a different context, Enterprise Modelling methods rely on diagrammatic means for describing and analysing an enterprise system in terms of key properties and conceptual abstractions. Hence, both the Semantic Web and Enterprise Modelling paradigms share a common interest in machine-processable semantics towards the goal of elevating semantics-awareness in information systems and decision support. Inspired by this overlapping, the paper proposes a mechanism for streamlining semantics between Structured Data Markup and enterprise modelling methods. Towards this goal, it employs the Resource Description Framework and the Agile Modelling Method Engineering Framework.

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APA

Ghiran, A. M., Buchmann, R. A., Osman, C. C., & Karagiannis, D. (2017). Streamlining structured data markup and agile modelling methods. In Lecture Notes in Business Information Processing (Vol. 305, pp. 331–340). Springer Verlag. https://doi.org/10.1007/978-3-319-70241-4_22

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