Karnok, Dávid and Kemény, Zsolt and Ilie-Zudor, Angyalka Elisabeth and Monostori, László (2014) Data type definition and handling for supporting interoperability across organizational borders. JOURNAL OF INTELLIGENT MANUFACTURING, xx (x). pp. 1-19. ISSN 0956-5515 10.1007/s10845-014-0884-9

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Abstract

Organisational heterogeneity-especially in networks where new members may join at any time-requires ongoing actions to maintain interoperability. On the level of data interoperability, this highlights the importance of various aspects of data model and dataflow design, as well as handling of data at run-time. The latter is certain to require automated means of data model negotiation, and-while today's design processes are far from fully automated-such means can leverage productivity and support verification procedures in data modelling and dataflow design as well. The paper presents results in one possible approach to data type definition and manipulation, through the example of the ADVANCE dataflow engine and its type-related features. Aside from an XML-based type system, type inference algorithms are presented which are employed both during design and flow execution. © 2014 Springer Science+Business Media New York.

Item Type:	Article
Uncontrolled Keywords:	XML type system; Type inference; Enterprise network; Dataflow
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Research Laboratory on Engineering & Management Intelligence
SWORD Depositor:	MTMT Injector
Depositing User:	MTMT Injector
Date Deposited:	22 Sep 2014 06:51
Last Modified:	26 Nov 2016 16:01
URI:	https://eprints.sztaki.hu/id/eprint/7944

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