DocumentCode
180685
Title
Context-Sensitive and Individualized Support of Employees in Business Processes: Conceptual Design of a Semantic-Based Recommender System
Author
Di Valentin, Christina ; Emrich, Andreas ; Werth, Dirk ; Loos, Peter
Author_Institution
Inst. for Inf. Syst., German Res. Center for Artificial Intell., Kaiaserslautern, Germany
fYear
2014
fDate
6-7 Nov. 2014
Firstpage
77
Lastpage
82
Abstract
Even though personal working processes run into business processes and access the same databases, human working processes and business processes in most cases are moving into opposite directions. Hence, individual knowledge and process-related knowledge are two aspects that are still very separated from each other. This leads to the result that most of the organizational knowledge base is not used. This paper presents the conceptual design of a recommender system that individually supports employees to carry out their tasks in their working processes. Furthermore, the presented system enables users to enrich business processes with their knowledge. The system adapts to each employee´s personal profile by analyzing knowledge gaps in the usage behavior. Hence, similarities can be identified and integrated in the organizational knowledge base that can be used to derive best practices and reference processes.
Keywords
business data processing; knowledge management; personnel; recommender systems; business processes; context-sensitive support; employee personal profile; human working processes; individualized employee support; organizational knowledge base; personal working processes; process-related knowledge; semantic-based recommender system; Companies; Context; Knowledge based systems; Ontologies; Recommender systems; Software; business processes; collaboration; context-awareness; personalization; recommender system;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic and Social Media Adaptation and Personalization (SMAP), 2014 9th International Workshop on
Conference_Location
Corfu
Print_ISBN
978-1-4799-6813-8
Type
conf
DOI
10.1109/SMAP.2014.28
Filename
6978957
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