104 Result(s)
within
Chapter
Stefan Decker
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Chapter and Conference Paper
OntoEditor: Real-Time Collaboration via Distributed Version Control for Ontology Development
In today’s remote work environment, the demand for real-time collaborative tools has surged. Our research targets efficient collaboration among knowledge engineers and domain experts in Ontology development. W...
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Chapter
Actionable Artificial Intelligence for the Future of Production
The Internet of Production (IoP) promises to be the answer to major challenges facing the Industrial Internet of Things (IIoT) and Industry 4.0. The lack of inter-company communication channels and standards, ...
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Chapter
A Digital Shadow Reference Model for Worldwide Production Labs
Due to their growing amount and heterogeneity, we need a precise and standardized understanding about the foundation, structure, and forms of aggregation and especially the use of data and models within the pr...
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Chapter and Conference Paper
Towards Privacy-Preserving Machine Learning in Sovereign Data Spaces: Opportunities and Challenges
The world of big data has unlocked novel avenues for organizations to generate value via sharing data. Current data ecosystem initiatives such as Gaia-X and IDS are introducing data-driven business models that...
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Chapter
Managing Growing Uncertainties in Long-Term Production Management
Long-term production management defines the future production structure and ensures the long-term competitiveness. Companies around the world currently have to deal with the challenge of making decisions in an...
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Chapter and Conference Paper
A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information
This paper introduces the concept of a knowledge graph for time series data, which allows for a structured management and propagation of characteristic time series information and the ability to support query-...
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Chapter and Conference Paper
pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints
Statistical heterogeneity, especially feature distribution skewness, among the distributed data is a common phenomenon in practice, which is a challenging problem in federated learning that can lead to a degra...
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Chapter and Conference Paper
Citation Recommendation Chatbot for Professional Communities
In recent years, the proliferation of academic literature has made it increasingly challenging for researchers and professionals to discover relevant citations for their work. To address this issue, this paper...
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Chapter and Conference Paper
Motivating Learners with Gamified Chatbot-Assisted Learning Activities
Chatbots belong to the many technological novelties that could be employed in educational settings. Already being shown successfully in contexts such as being able to answer frequently asked questions, more ad...
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Chapter
Medical Data Spaces in Healthcare Data Ecosystems
Exchange of sensitive medical data between healthcare providers and researchers requires a particularly high level of trust and security. Involving patients and citizen into this process increases transparency...
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Chapter and Conference Paper
Towards Easy Vocabulary Drafts with Neologism 2.0
Shared vocabularies and ontologies are essential for many applications. Although standards and recommendations already cover many areas, adaptations are usually necessary to represent concrete use-cases proper...
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Chapter and Conference Paper
Data Reliability and Trustworthiness Through Digital Transmission Contracts
As decision-making is increasingly data-driven, trustworthiness and reliability of the underlying data, e.g., maintained in knowledge graphs or on the Web, are essential requirements for their usability in the in...
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Chapter and Conference Paper
HTTP Extensions for the Management of Highly Dynamic Data Resources
As Semantic Web Technologies are increasingly employed for the management of highly dynamic data resources, e.g., the Industrial Internet of Things, resource versioning, state synchronization and distributed d...
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Chapter and Conference Paper
Optimized Federated Learning on Class-Biased Distributed Data Sources
Due to privacy protection, the conventional machine learning approaches, which upload all data to a central location, has become less feasible. Federated learning, a privacy-preserving distributed machine lear...
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Chapter and Conference Paper
SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata
Wikidata is a free and open knowledge base which can be read and edited by both humans and machines. It acts as a central storage for the structured data of several Wikimedia projects. To improve the process ...
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Chapter and Conference Paper
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering
A promising pathway for natural language question answering over knowledge graphs (KG-QA) is to translate natural language questions into graph-structured queries. During the translation, a vital process is to...
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Chapter and Conference Paper
Data Makes the Public Sector Go Round
This article summarizes the results of a systematic literature review on how the new data technologies affect the public sector and what their impact on governments are. The opportunities and the challenges th...
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Chapter and Conference Paper
Blockchain for Business Applications: A Systematic Literature Review
Blockchain technology is widely known as the technological basis on which bitcoin is built. This technology has created high expectations, as transactions of every kind are executed in a decentralized way, wit...
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Chapter and Conference Paper
A Framework for Applying Data Integration and Curation Pipelines to Support Integration of Migrants and Refugees in Europe
We investigate the benefit of data integration and curation services for the current refugee crisis and proposed an architecture to support development of innovative solutions. We focus on develo** a multi- ...
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Chapter and Conference Paper
Knowledge Representation on the Web Revisited: The Case for Prototypes
Recently, RDF and OWL have become the most common knowledge representation languages in use on the Web, propelled by the recommendation of the W3C. In this paper we examine an alternative way to represent know...
