Data model development for process modeling recommender systems
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Fellmann, M. | |
dc.contributor.author | Metzger, D. | |
dc.contributor.author | Thomas, O. | |
dc.contributor.editor | Horkoff, J. | |
dc.contributor.editor | Jeusfeld, M.A. | |
dc.contributor.editor | Persson, A. | |
dc.date.accessioned | 2021-12-23T16:32:08Z | - |
dc.date.available | 2021-12-23T16:32:08Z | - |
dc.date.issued | 2016 | |
dc.identifier.isbn | 9783319483924 | |
dc.identifier.issn | 18651348 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/17234 | - |
dc.description | Conference of 9th IFIP WG 8.1. Working Conference on the Practice of Enterprise Modeling, PoEM 2016 ; Conference Date: 8 November 2016 Through 10 November 2016; Conference Code:186109 | |
dc.description.abstract | The manual construction of business process models is a timeconsuming and error-prone task. To ease the construction of such models, several modeling support techniques have been suggested. However, while recommendation systems are widely used e.g. in e-commerce, such techniques are rarely implemented in process modeling tools. The creation of such systems is a complex task since a large number of requirements and parameters have to be addressed. In order to improve the situation, we develop a data model that can serve as a backbone for the development of process modeling recommender systems (PMRS). We systematically develop the model in a stepwise approach using established requirements and validate it against a data model that has been reverse-engineered from a real-world system. We expect that our contribution will provide a useful starting point for designing the data perspective of process modeling recommendation features. © IFIP International Federation for Information Processing 2016. | |
dc.language.iso | en | |
dc.publisher | Springer Verlag | |
dc.relation.ispartof | Lecture Notes in Business Information Processing | |
dc.subject | Data model | |
dc.subject | Data structures | |
dc.subject | Electronic commerce | |
dc.subject | Enterprise process modeling | |
dc.subject | Error prone tasks | |
dc.subject | Model development | |
dc.subject | Process Modeling | |
dc.subject | Real-world system | |
dc.subject | Recommender systems | |
dc.subject | Recommender systems, Business process model | |
dc.subject | Requirements | |
dc.subject | Stepwise approach, Process engineering | |
dc.title | Data model development for process modeling recommender systems | |
dc.type | conference paper | |
dc.identifier.doi | 10.1007/978-3-319-48393-1_7 | |
dc.identifier.scopus | 2-s2.0-84994851022 | |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994851022&doi=10.1007%2f978-3-319-48393-1_7&partnerID=40&md5=84aeddb0dd4df213a141022b5961307d | |
dc.description.volume | 267 | |
dc.description.startpage | 87 | |
dc.description.endpage | 101 | |
dcterms.isPartOf.abbreviation | Lect. Notes Bus. Inf. Process. | |
crisitem.author.dept | FB 09 - Wirtschaftswissenschaften | - |
crisitem.author.deptid | fb09 | - |
crisitem.author.parentorg | Universität Osnabrück | - |
crisitem.author.netid | ThOl011 | - |
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geprüft am 03.06.2024