Towards a Contextualized Visual Analysis of Heterogeneous Manufacturing Data
M. Aehnelt, H. Schulz, и B. Urban. Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, Proceedings, Part II, том 8034 из Lecture Notes in Computer Science, Springer, Berlin, (2013)
DOI: 10.1007/978-3-642-41939-3_8
Аннотация
Visual analysis spanning multiple data sources usually requires the integration of multiple specialized applications to handle their heterogeneity. This is also true in manufacturing, where data about orders, personnel, workloads, maintenance, etc. must be analyzed together to make well-founded management decisions. Yet, the orchestration of multiple data sources and applications poses challenges to the software infrastructure and to the analyst. We present a three-tiered approach to cope with these challenges. In a first step, we establish a domaindependent workflow as the mental model of the analyst. Based on the novel concept of contextualization, we then align the different applications with this model for their meaningful integration. In a third step, we incorporate the data according to its use in the aligned applications by means of a service-based architecture. By starting the integration on the user level, we are able to pragmatically target and streamline the required integration to a degree that is technically achievable and interactively manageable. We exemplify our approach with the Plant@Hand system for integrating manufacturing data and applications.
%0 Book Section
%1 AehneltSchulzUrban13ISVC
%A Aehnelt, Mario
%A Schulz, Hans-Jörg
%A Urban, Bodo
%B Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, Proceedings, Part II
%C Berlin
%D 2013
%E Bebis, George
%E Boyle, Richard
%E Parvin, Bahram
%E Koracin, DDarko
%E Li, Baoxin
%E Porikli, Fatih
%E Zordan, Victor
%E Klosowski, James
%E Coquillart, Sabine
%E Luo, Xun
%E Chen, Min
%E Gotz, David
%I Springer
%K 01624 springer paper ai information graphics factory assist processing analysis workflow service architecture user interface zzz.i40
%P 76--85
%R 10.1007/978-3-642-41939-3_8
%T Towards a Contextualized Visual Analysis of Heterogeneous Manufacturing Data
%V 8034
%X Visual analysis spanning multiple data sources usually requires the integration of multiple specialized applications to handle their heterogeneity. This is also true in manufacturing, where data about orders, personnel, workloads, maintenance, etc. must be analyzed together to make well-founded management decisions. Yet, the orchestration of multiple data sources and applications poses challenges to the software infrastructure and to the analyst. We present a three-tiered approach to cope with these challenges. In a first step, we establish a domaindependent workflow as the mental model of the analyst. Based on the novel concept of contextualization, we then align the different applications with this model for their meaningful integration. In a third step, we incorporate the data according to its use in the aligned applications by means of a service-based architecture. By starting the integration on the user level, we are able to pragmatically target and streamline the required integration to a degree that is technically achievable and interactively manageable. We exemplify our approach with the Plant@Hand system for integrating manufacturing data and applications.
%@ 978-3-642-41938-6
@incollection{AehneltSchulzUrban13ISVC,
abstract = {Visual analysis spanning multiple data sources usually requires the integration of multiple specialized applications to handle their heterogeneity. This is also true in manufacturing, where data about orders, personnel, workloads, maintenance, etc. must be analyzed together to make well-founded management decisions. Yet, the orchestration of multiple data sources and applications poses challenges to the software infrastructure and to the analyst. We present a three-tiered approach to cope with these challenges. In a first step, we establish a domaindependent workflow as the mental model of the analyst. Based on the novel concept of contextualization, we then align the different applications with this model for their meaningful integration. In a third step, we incorporate the data according to its use in the aligned applications by means of a service-based architecture. By starting the integration on the user level, we are able to pragmatically target and streamline the required integration to a degree that is technically achievable and interactively manageable. We exemplify our approach with the Plant@Hand system for integrating manufacturing data and applications.},
added-at = {2017-06-17T12:30:04.000+0200},
address = {Berlin},
author = {Aehnelt, Mario and Schulz, Hans-J\"{o}rg and Urban, Bodo},
biburl = {https://www.bibsonomy.org/bibtex/21785cbc1e8900ad86cea95038aee2510/flint63},
booktitle = {Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, Proceedings, Part II},
doi = {10.1007/978-3-642-41939-3_8},
editor = {Bebis, George and Boyle, Richard and Parvin, Bahram and Koracin, DDarko and Li, Baoxin and Porikli, Fatih and Zordan, Victor and Klosowski, James and Coquillart, Sabine and Luo, Xun and Chen, Min and Gotz, David},
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isbn = {978-3-642-41938-6},
keywords = {01624 springer paper ai information graphics factory assist processing analysis workflow service architecture user interface zzz.i40},
pages = {76--85},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2017-07-13T18:14:40.000+0200},
title = {Towards a Contextualized Visual Analysis of Heterogeneous Manufacturing Data},
username = {flint63},
volume = 8034,
year = 2013
}