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Bridging the Gap Between Independent Enterprise Architecture Domain Models

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 255))

Abstract

An Enterprise Architecture (EA) provides a holistic view about the domains to support planning and management tasks. The creation can be made more efficient if present domain models and measures are integrated. But these sources often lack coordination and thus are rather isolated. The paper proposes an approach based on Semantic Web technologies to combine these sources. A key aspect is the indirect connection through bridging elements to reduce the effort to establish an EA. These elements and a small EA vocabulary are the basis for an integrated data pool being a “mash up” instead of a new data silo.

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Notes

  1. 1.

    For example http://dbpedia.org/resource/Euro references the European currency. (Accessed Dec 17, 2015).

  2. 2.

    See e.g. TemaTres http://www.vocabularyserver.com/. (Accessed Dec 28, 2015).

  3. 3.

    RDF123: http://ebiquity.umbc.edu/project/html/id/82/RDF123. (Accessed Dec 13, 2015).

  4. 4.

    D2RQ Platform: http://d2rq.org/. (Accessed Dec 22, 2015).

  5. 5.

    Apache Jena: https://jena.apache.org. (Accessed Dec 23, 2015).

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Correspondence to Thomas Stuht .

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Stuht, T., Speck, A. (2016). Bridging the Gap Between Independent Enterprise Architecture Domain Models. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems. BIS 2016. Lecture Notes in Business Information Processing, vol 255. Springer, Cham. https://doi.org/10.1007/978-3-319-39426-8_22

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