A5088289518- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Business Process Modeling and Analysis
- Topic Modeling
- Natural Language Processing Techniques
- IoT and Edge/Fog Computing
- Web Data Mining and Analysis
- Advanced Graph Neural Networks
- Biomedical Text Mining and Ontologies
- Data Quality and Management
- Advanced Database Systems and Queries
- Digital Transformation in Industry
- Scientific Computing and Data Management
- Context-Aware Activity Recognition Systems
- Diabetes Management and Research
- Service and Product Innovation
- Machine Learning in Healthcare
- Cloud Computing and Resource Management
- Web Applications and Data Management
- Robotics and Automated Systems
- Blockchain Technology Applications and Security
- Advanced Software Engineering Methodologies
- Distributed and Parallel Computing Systems
- Web Application Security Vulnerabilities
- Digital Innovation in Industries
Helmut Schmidt University
2024-2025
University of Siegen
2021-2022
University of Bonn
2019-2021
Karlsruhe Institute of Technology
2008-2018
The Open University
2009-2012
Hong Kong Metropolitan University
2010-2012
Open Knowledge (United Kingdom)
2008
The world of services on the Web, thus far limited to "classical" Web based WSDL and SOAP, has been increasingly marked by domination APIs, characterised their relative simplicity natural suitability for Web. Currently, development APIs is rather autonomous, guided no established standards or rules, API documentation commonly not an interface description language such as WSDL, but given directly in HTML part a web page. As result, use requires extensive manual effort wealth existing work...
The ongoing digital transformation has the potential to revolutionize nearly all industrial manufacturing processes. However, its concrete requirements and implications are still not sufficiently investigated. In order establish a common understanding, multitude of initiatives have published guidelines, reference frameworks specifications, intending promote their particular interpretation Industrial Internet Things (IIoT). As result inconsistent use terminology, heterogeneous structures...
Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova. Proceedings of the 16th Conference European Chapter Association for Computational Linguistics: Main Volume. 2021.
The concept of blockchain technology has gained significant momentum in practice and research the past few years, as it provides an effective way for addressing issues anonymity traceability distributed scenarios with multiple parties, which have to exchange information want securely collaborate each other. However, up-to-date, impact structure setup business networks on successfully applying technology, remains largely unexplored. We propose a model-driven approach, combining ontology layer...
This paper addresses the task of conversational question answering (ConvQA) over knowledge graphs (KGs). The majority existing ConvQA methods rely on full supervision signals with a strict assumption availability gold logical forms queries to extract answers from KG. However, creating such form is not viable for each potential in real-world scenario. Hence, case missing forms, information retrieval-based approaches use weak via heuristics or reinforcement learning, formulating as KG path...
Web APIs, characterized by their relative simplicity and natural suitability for the Web, have become increasingly dominant in world of services on Web. Despite popularity, APIs are so heterogeneous terms underlying principles adopted means used publishing them that discovering, understanding notably invoking is nowadays more an art than a science. In this paper, we present our work towards supporting automated invocation APIs. particular, describe framework provides unique entry point most...