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  5. Application of Process Ontology to improve the funding allocation process at the European Institute of Innovation and Technology
 
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Application of Process Ontology to improve the funding allocation process at the European Institute of Innovation and Technology

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Download EGOVIS2014_matteo_arru_Final_Gren.pdf380.74 KB
Author(s)
Arru, Matteo 
Uri
http://hdl.handle.net/10197/8081
Date Issued
03 September 2014
Date Available
18T16:23:58Z October 2016
Abstract
This studio explains the application through the application of the ProKEx architecture is used to improve the process of allocation of funding at the European Institute of Innovation and Technology (EIT). The mission of the EIT is to grow and capitalize on the innovation capacity and capability of actors from higher education, research, business and entrepreneurship from the EU and beyond through the creation of highly integrated Knowledge and Innovation Communities (KICs). This case offers the scenario of a complex application where a fragmented process with several actors is dealing with the different domains of knowledge of each KIC. Starting from the Business Process Model, applying text-mining techniques we extract the ontology elements from the activity description and converted into an Ontology of the process domain. By the critical analysis of the information contained in the model, we gain the relevant information to improve the current approach.
Type of Material
Journal Article
Publisher
Springer
Journal
Lecture Notes in Computer Science
Volume
8650
Start Page
133
End Page
147
Copyright (Published Version)
2014 Springer
Keywords
  • European Institute of...

  • European funding

  • Semantic business pro...

  • Ontology matching

DOI
10.1007/978-3-319-10178-1_11
Language
English
Status of Item
Peer reviewed
Description
Third International Conference, EGOVIS 2014, Munich, Germany, 1-3 September 2014
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Nursing, Midwifery & Health Systems Research Collection
Scopus© citations
2
Acquisition Date
Mar 31, 2023
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