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Dive into the research topics where Felix Leif Keppmann is active.

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Featured researches published by Felix Leif Keppmann.


international symposium on mixed and augmented reality | 2014

Integrating highly dynamic RESTful linked data APIs in a virtual reality environment.

Felix Leif Keppmann; Tobias Käfer; Steffen Stadtmüller; René Schubotz; Andreas Harth

We demonstrate a Virtual Reality information system that shows the applicability of REST in highly dynamic environments as well as the advantages of Linked Data for on-the-fly data integration. We integrate a motion detection sensor application to remote control an avatar in the Virtual Reality. In the Virtual Reality, information about the user is integrated and visualised. Moreover, the user can interact with the visualised information.


international conference on engineering of complex computer systems | 2016

Semantic Technologies for Realising Decentralised Applications for the Web of Things

Felix Leif Keppmann; Maria Maleshkova; Andreas Harth

The vision of the Internet of Things (IoT) promises the capability of connecting billions of devices, resources and things together. In the realisation of this vision, we are currently neglecting the interoperability between devices that is caused by a heterogeneous landscape of things and which leads to the proliferation of isolated islands of custom IoT solutions. A first step towards enabling some interoperability is to connect things to the Web and to use the Web stack, thereby conceiving the socalled Web of Things (WoT). However, even when a homogeneous access is reached through Web protocols, a common understanding is still missing. In addition, decentralised applications, advocated by the IoT vision, and a-priori unknown requirements of specific integration scenarios demand new concepts for the adaptation of things at runtime. Our work focuses on two main aspects: overcoming not only data but also device and interface heterogeneity, and enabling adaptable and scalable decentralised WoT applications. To this end we present an approach for realising decentralised WoT applications based on three main building blocks: 1) semantics of the devices’ capabilities and interfaces, 2) rules to enable embedding controller logic within device’s interfaces for supporting a decentralised applications, and 3) support for reconfiguring the controller logic at runtime for customising and adapting the application. We show how our approach can be applied by introducing a reference architecture, provide a thorough evaluation in terms of a proof-of-concept implementation of an example use case, and performance tests.


On the Move to Meaningful Internet Systems, OTM 2017 Conferences, Confederated International Conferences :#R##N#CoopIS, C&TC, and ODBASE 2017, Proceedings, Part II, Rhodes, Greece, 23rd - 27th October 2017. Ed.: H. Panetto | 2017

DLUBM : A Benchmark for Distributed Linked Data Knowledge Base Systems

Felix Leif Keppmann; Maria Maleshkova; Andreas Harth

Linked Data is becoming a stable technology alternative and is no longer only an innovation trend. More and more companies are looking into adapting Linked Data as part of the new data economy. Driven by the growing availability of data sources, solutions are constantly being newly developed or improved in order to support the necessity for data exchange both in web and enterprise settings. Unfortunately, currently the choice whether to use Linked Data is more an educated guess than a fact-based decision. Therefore, the provisioning of open benchmarking tools and reports, which allow developers to assess the fitness of existing solutions, is key for pushing the development of better Linked Data-based approaches and solutions. To this end we introduce a novel Linked Data benchmark – Distributed LUBM, which enables the reproducible creation and deployment of distributed interlinked LUBM datasets. We provide a system architecture for distributed Linked Data benchmark environments, accompanied by guiding design requirements. We instantiate the architecture with the actual DLUBM implementation and evaluate a Linked Data query engine via DLUBM.


Archive | 2017

Virtuelle Techniken und Semantic-Web

André Antakli; Pablo Alvarado Moya; Beat D. Brüderlin; Ulrich Canzler; Holger Dammertz; Volker Enderlein; Jürgen Grüninger; Andreas Harth; Hilko Hoffmann; Eduard Jundt; Peter Keitler; Felix Leif Keppmann; Roland Krzikalla; Sebastian Lampe; Alexander Löffler; Julian Meder; Michael Otto; Frieder Pankratz; Sebastian Pfützner; Matthias Roth; Richard Sauerbier; Werner Schreiber; Roland Stechow; Johannes Tümler; Christian Vogelgesang; Oliver Wasenmüller; Andreas Weinmann; Jochen Willneff; Hans-Joachim Wirsching; Ingo Zinnikus

Virtuelle Techniken (VT) haben schon seit vielen Jahren in der Industrie in vielfaltiger Weise Eingang gefunden. Ebenso gibt es durchaus umfangreiche, interoperable Anwendungen in anderen Fachdomanen, die auf etablierten, standardisierten Web-Technologien beruhen. Daher liegt es nahe, die unbestreitbaren Vorteile von semantischen Web-Technologien fur den Aufbau interoperabler VT-Anwendungen zu nutzen. In diesem Kapitel werden daher grundlegende Elemente und der aktuelle Entwicklungsstand virtueller Techniken sowie auch die Grundkonzepte semantischer Web-Technologien beschrieben. Im Uberblick wird deutlich, dass zahlreiche Einzelkomponenten fur komplexere VT-Anwendungen zusammenarbeiten mussen und dass neben der Interoperabilitat die erreichte Gesamtperformanz einer Anwendung eine essentielle Anforderung fur die ARVIDA-Referenzarchitektur ist. Die gewunschte Kapselung der hier beschriebenen Einzelelemente in Web-Dienste ist bisher noch im Forschungsstadium. Eine detaillierte Beschreibung, wie semantische Web-Technologien aus dem ARVIDA-Projekt heraus fur VT-Anwendungen angewendet werden, ist in den Folgekapiteln zu finden.


international world wide web conferences | 2015

Towards Optimising the Data Flow in Distributed Applications

Felix Leif Keppmann; Maria Maleshkova; Andreas Harth

Networked applications continuously move towards service-based and modular solutions. At the same time, web technologies, proven to be modular and distributed, are applied to these application areas. However, web technologies have to be adapted to the new characteristics of the involved systems -- no explicit client and server roles, use of heterogeneous devices, or high frequency and low latency data communication. To this end, we present an approach for describing distributed applications in terms of graphs of communicating nodes. In particular, we develop a formal model for capturing the communication between nodes, by including dynamic and static data producing devices, data consuming client applications, as well as devices that can serve as data produces and consumers at the same time. In our model, we characterise nodes by their frequencies of data exchange. We complement our model with a decision algorithm for determining the pull/push communication direction to optimise the amount of redundantly transferred data (i.e., data that is pushed but cannot be processed or data that is pulled but is not yet updated). The presented work lays the foundation for creating distributed applications which can automatically optimise data exchange.


international semantic web conference | 2013

NoSQL Databases for RDF: An Empirical Evaluation

Philippe Cudré-Mauroux; Iliya Enchev; Sever Fundatureanu; Paul T. Groth; Albert Haque; Andreas Harth; Felix Leif Keppmann; Daniel P. Miranker; Juan F. Sequeda; Marcin Wylot


SALAD@ESWC | 2015

Building REST APIs for the Robot Operating System-Mapping Concepts, Interaction.

Felix Leif Keppmann; Maria Maleshkova; Andreas Harth


international semantic web conference | 2014

High performance linked data processing for virtual reality environments

Felix Leif Keppmann; Tobias Käfer; Steffen Stadtmüller; René Schubotz; Andreas Harth


international conference on semantic systems | 2017

Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components

Felix Leif Keppmann; Maria Maleshkova; Andreas Harth


SALAD@ESWC | 2014

Semantic RESTful APIs for Dynamic Data Sources.

Felix Leif Keppmann; Steffen Stadtmüller

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Andreas Harth

Karlsruhe Institute of Technology

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Maria Maleshkova

Karlsruhe Institute of Technology

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Steffen Stadtmüller

Karlsruhe Institute of Technology

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Tobias Käfer

Karlsruhe Institute of Technology

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Lora Aroyo

VU University Amsterdam

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Anna Fensel

University of Innsbruck

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