Ege Korkan

dblp:229/8855 · DBLP profile ↗
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6ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0003-4910-4962ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 6 · 3 first-author · 4 since 2021Databases, data management, data science and information retrieval · 5 · 2 first-author · 4 since 2021
YearPublicationVenuePosition
2025 Interoperable Cyber-Physical Multi-Agent Systems Through Web of Things
Roman Binkert, Fady Salama, Ege Korkan, Sebastian Käbisch, Sebastian Steinhorst
ICWE3
2025 LLM-MaGe: A Generative Mashup Planner for the Web of Things
Fady Salama, Franz J. Ennemoser, Roman Binkert, Ege Korkan, Sebastian Käbisch, Sebastian Steinhorst
ICWE4
2024 DyST: Dynamic Specification Mining for Heterogenous IoT Systems with WoT
Ege Korkan, Silvia Oliva Ramirez, Sebastian Steinhorst
ICWE1
2021 A-MaGe: Atomic Mashup Generator for the Web of Things
Ege Korkan, Fady Salama, Sebastian Käbisch, Sebastian Steinhorst
ICWE1
2020 W-ADE: Timing Performance Benchmarking in Web of Things
Verena Eileen Schlott, Ege Korkan, Sebastian Käbisch, Sebastian Steinhorst
ICWE2
2018 Sequential Behavioral Modeling for Scalable IoT Devices and Systems
abstract
The Internet of Things (IoT) enables connectivity between devices, thereby allowing them to interact with each other. A recurring problem is the emergence of siloed IoT platforms due to proprietary standards. Recently, the World Wide Web Consortium (W3C) proposed a human-readable and machine- understandable format called Thing Description (TD). It allows to uniformly describe device and service interfaces of different IoT standards with syntactic and semantic information, and hence enables semantic interoperability. However, describing sequential behavior of devices, which is essential for many cyber-physical systems, is not covered. In this paper, we propose a systematic way to describe such sequential behavior as an extension within TDs, thereby increasing their semantic expressiveness through possible, valid state transitions. This enables safe and desired operation of devices as well as scalability by modeling systems as sequential compositions of Things. We show in a case study that previously unmodelable behavior can now be expressed and the overall manual intervention requirements of state-of-the-art implementations can be significantly reduced.
Ege Korkan, Sebastian Käbisch, Matthias Kovatsch, Sebastian Steinhorst
FDL1