Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Sowinski, Piotr"'
Autor:
Sowinski, Piotr, Lacalle, Ignacio, Vano, Rafael, Palau, Carlos E., Ganzha, Maria, Paprzycki, Marcin
The landscape of computing technologies is changing rapidly, straining existing software engineering practices and tools. The growing need to produce and maintain increasingly complex multi-architecture applications makes it crucial to effectively ac
Externí odkaz:
http://arxiv.org/abs/2410.20984
Autor:
Sowinski, Piotr, Ganzha, Maria
Collaborative mechanisms allow benchmarks to be updated continuously and adjust to the changing requirements and new use cases. This paradigm is employed for example in the field of machine learning, but up until now there were no examples of truly o
Externí odkaz:
http://arxiv.org/abs/2410.12965
As the role of knowledge-based systems in IoT keeps growing, ensuring resource efficiency of RDF stores becomes critical. However, up until now benchmarks of RDF stores were most often conducted with only one dataset, and the differences between the
Externí odkaz:
http://arxiv.org/abs/2406.16412
Over the years, RDF streaming was explored in research and practice from many angles, resulting in a wide range of RDF stream definitions. This variety presents a major challenge in discussing and integrating streaming systems, due to the lack of a c
Externí odkaz:
http://arxiv.org/abs/2311.14540
The concept of the federated Cloud-Edge-IoT continuum promises to alleviate many woes of current systems, improving resource use, energy efficiency, quality of service, and more. However, this continuum is still far from being realized in practice, w
Externí odkaz:
http://arxiv.org/abs/2308.03119
RDF data streaming has been explored by the Semantic Web community from many angles, resulting in multiple task formulations and streaming methods. However, for many existing formulations of the problem, reliably benchmarking streaming solutions has
Externí odkaz:
http://arxiv.org/abs/2305.06226
Autor:
Legierski, Jaroslaw, Rachwal, Kajetan, Sowinski, Piotr, Niewolski, Wojciech, Ratuszek, Przemyslaw, Kopertowski, Zbigniew, Paprzycki, Marcin, Ganzha, Maria
Publikováno v:
ICIMMI 2022: Proceedings of the 4th International Conference on Information Management & Machine Intelligence
Detecting Personal Protective Equipment in images and video streams is a relevant problem in ensuring the safety of construction workers. In this contribution, an architecture enabling live image recognition of such equipment is proposed. The solutio
Externí odkaz:
http://arxiv.org/abs/2301.01501
Autor:
Bolanowski, Marek, Żak, Kamil, Paszkiewicz, Andrzej, Ganzha, Maria, Paprzycki, Marcin, Sowiński, Piotr, Lacalle, Ignacio, Palau, Carlos E.
The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On the basis of performed experiments, classes of communication tasks, for
Externí odkaz:
http://arxiv.org/abs/2208.00682
Autor:
Sowinski, Piotr, Wasielewska-Michniewska, Katarzyna, Ganzha, Maria, Pawlowski, Wieslaw, Szmeja, Pawel, Paprzycki, Marcin
Publikováno v:
2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
With the ongoing, gradual shift of large-scale distributed systems towards the edge-cloud continuum, the need arises for software solutions that are universal, scalable, practical, and grounded in well-established technologies. Simultaneously, semant
Externí odkaz:
http://arxiv.org/abs/2207.04439
Autor:
Sowinski, Piotr, Wasielewska-Michniewska, Katarzyna, Ganzha, Maria, Paprzycki, Marcin, Badica, Costin
Publikováno v:
Frontiers in Artificial Intelligence and Applications 355 (2022) 631-645
Reusing ontologies in practice is still very challenging, especially when multiple ontologies are (jointly) involved. Moreover, despite recent advances, the realization of systematic ontology quality assurance remains a difficult problem. In this wor
Externí odkaz:
http://arxiv.org/abs/2205.02892