JCP 2019 Vol.14(8): 528-540 ISSN: 1796-203X
doi: 10.17706/jcp.14.8.528-540
doi: 10.17706/jcp.14.8.528-540
Predicting Document Accesses with a Self-enforcing Network
David Bergmann1, Gregor Fuhs2, Christina Klüver1
1Institute for Computer Science and Business Information Systems (ICB), Universitaetsstr. 12, 45117 Essen, Germany.
2FIR e.V. at the RWTH Aachen University, Campus-Boulevard 55, 52074 Aachen, Germany.
Abstract—Nowadays, construction projects are planned and carried out by large, interdisciplinary and mostly spatially separated teams. Project members have different data sets, which are often exchanged via complex and error-prone e-mail traffic. This leads to cumbersome and often chaotic data storage. In the following, a method with SEN as core element is described that is intended to improve data exchange through pre-planning data synchronization. The aim of the project is to develop a cloud-based collaboration software for the construction industry that sustainably increases the quality and speed of construction processes and reduces errors caused by old or incorrect data.Nowadays, construction projects are planned and carried out by large, interdisciplinary and mostly spatially separated teams. Project members have different data sets, which are often exchanged via complex and error-prone e-mail traffic. This leads to cumbersome and often chaotic data storage. In the following, a method with SEN as core element is described that is intended to improve data exchange through pre-planning data synchronization. The aim of the project is to develop a cloud-based collaboration software for the construction industry that sustainably increases the quality and speed of construction processes and reduces errors caused by old or incorrect data.
Index Terms—Self-enforcing network, document management, document access prediction.
2FIR e.V. at the RWTH Aachen University, Campus-Boulevard 55, 52074 Aachen, Germany.
Abstract—Nowadays, construction projects are planned and carried out by large, interdisciplinary and mostly spatially separated teams. Project members have different data sets, which are often exchanged via complex and error-prone e-mail traffic. This leads to cumbersome and often chaotic data storage. In the following, a method with SEN as core element is described that is intended to improve data exchange through pre-planning data synchronization. The aim of the project is to develop a cloud-based collaboration software for the construction industry that sustainably increases the quality and speed of construction processes and reduces errors caused by old or incorrect data.Nowadays, construction projects are planned and carried out by large, interdisciplinary and mostly spatially separated teams. Project members have different data sets, which are often exchanged via complex and error-prone e-mail traffic. This leads to cumbersome and often chaotic data storage. In the following, a method with SEN as core element is described that is intended to improve data exchange through pre-planning data synchronization. The aim of the project is to develop a cloud-based collaboration software for the construction industry that sustainably increases the quality and speed of construction processes and reduces errors caused by old or incorrect data.
Index Terms—Self-enforcing network, document management, document access prediction.
Cite: David Bergmann, Gregor Fuhs, Christina Klüver, "Predicting Document Accesses with a Self-enforcing Network," Journal of Computers vol. 14, no. 8, pp. 528-540, 2019.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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