Holger Kett

Dr. Holger Kett

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 June 2021
Verified
Book Chapter
Closed access
PDF file
HKHolger Kett
Holger Kett
DEDimitri Evcenko
Dimitri Evcenko
JFJürgen Falkner
Jürgen Falkner
SFSandra Frings
Sandra Frings
JNJens Neuhüttler
Jens Neuhüttler

30 October 2025 in Applied Sciences
Verified
Journal Article
Open access
PDF file
CSCarlos Schmidt
Carlos Schmidt
FVFriedrich Volz
Friedrich Volz
Ljiljana Stojanovic StojanovicLjiljana Stojanovic Stojanovic
Ljiljana Stojanovic Stojanovic
HKHolger Kett
Holger Kett
Digital twins (DTs) based on the Asset Administration Shell (AAS) enable interoperable representations of industrial assets, while dataspaces like those defined by the International Data Spaces (IDS) facilitate sovereign, policy-governed data exchange across organizations. However, integrating AAS-based DTs into dataspaces remains challenging due to manual processes, synchronization issues, and varying implementation strategies. This paper addresses these gaps by first presenting a structured analysis of existing integration approaches and evaluating the user requirements to be met. We then introduce a flexible reference implementation extending the Eclipse Dataspace Connector (EDC), which automates AAS registration into dataspaces. Finally, we conduct a qualitative comparison with state-of-the-art prototypes from initiatives such as Catena-X and Factory-X and demonstrate the application of our integration approach in the MODAI project for sensor-driven manufacturing data sharing. Results indicate that the integration approach reduced manual effort and provides synchronization between digital twins and dataspace.

1 January 2015
Verified
Conference Paper
Open access
AHAndrea Horch
Andrea Horch
HKHolger Kett
Holger Kett
AWAnette Weisbecker
Anette Weisbecker

22 March 2010
Verified
Conference Paper
Open access
GSGregor Scheithauer
Gregor Scheithauer
HKHolger Kett
Holger Kett
JKJoachim Kaiser
Joachim Kaiser
SHSusanne Hackner
Susanne Hackner
HHHao Hu
Hao Hu
GWGuido Wirtz
Guido Wirtz
Service engineering for both, service-oriented architectures and evolving service market places in the Internet, is still a challenge due to dynamic environments, high uncertainties, and increasing coopetition of market participants. Against this context, this paper introduces the Integrated Service Engineering Framework, presents a conducted case study in the IT outsourcing domain, and discusses the framework's performance. Additionally, it reviews work related to business modeling. The case study shows that the ISE Framework is particularly strong in process and data modeling and their derivation from one perspective into the other

21 April 2015
Verified
Book Chapter
Open access
PDF file
HKHarriet Kasper
Harriet Kasper
IKIva Koleva
Iva Koleva
HKHolger Kett
Holger Kett
In this paper we introduce the Social Media Matrix, a practitioner-oriented instrument that supports companies to decide based on their corporate or communication goals which social media activities to execute. The matrix consists of three parts: 1. Social media goals and task areas have been identified and matched. 2. Five types of social media activities have been defined. 3. The matrix provides a structure to assess the suitability of each activity type on each social media platform for each goal. Whereas the first two parts can be generally used, the assessment must be conducted explicitly for an industry sector. A ready to use assessment for the German B2B sector has been exemplarily compiled from expert-interviews with practitioners and by reviewing concrete social media activities. The matrix is used as a basis for social media consultancy projects and evaluated thereby.

26 November 2022
Verified
Conference Paper
Closed access
OSOliver Strauß
Oliver Strauß
DKDamian Kutzias
Damian Kutzias
HKHolger Kett
Holger Kett
With the advent of data ecosystems finding information in distributed and federated catalogs and marketplaces becomes more and more important. One of the problems in data search and search in general is the mismatch between the terminology of users and of the searched items, be it dataset metadata or web pages. The paper proposes an agent-based approach to document expansion (ADE). The idea is to represent documents with agents that exploit local information collected from user searches and relevant signals to improve the representation of the document in a search index and subsequently to improve the search performance of the system. The agents collect terms from relevant queries and perform topic modeling on these terms and publish different variants expanded with the topic terms to the search index. We find that the approach achieves good improvement in search performance and is a valuable tool because is places no burden on the information retrieval pipeline and is complementary to other document expansion and information retrieval approaches.