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    Chapter and Conference Paper

    Code Semantics Learning with Deep Neural Networks: An AI-Based Approach for Programming Education

    Modern programming languages are very complex, diverse, and non-uniform in their structure, code composition, and syntax. Therefore, it is a difficult task for computer science students to retrieve relevant co...

    Md. Mostafizer Rahman, Yutaka Watanobe, Paweł Szmeja in Computational Science – ICCS 2023 (2023)

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    Chapter and Conference Paper

    Alignment Format for Semantic Translation

    Abundance of vastly heterogeneous, high-volume/high-velocity data producers/consumers, predominantly caused by proliferation of IoT-based solutions, results in an urgent need for efficient semantic interoperab...

    Paweł Szmeja, Wiesław Pawłowski in Sustainable Technology and Advanced Comput… (2022)

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    Chapter and Conference Paper

    Tactile Internet in Internet of Things Ecosystems

    The aim of this contribution is twofold. First, to summarize the state-of-the-art in the area of Tactile Internet. Second, to outline, based on pilots of the ASSIST-IoT project, an architecture needed to reali...

    Ignacio Lacalle, César López, Rafael Vaño in Innovations in Electrical and Electronic E… (2022)

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    Chapter and Conference Paper

    ShExMap and IPSM-AF—Comparison of RDF Transformation Technologies

    RDF is growing in popularity for enterprise data harmonization software (e.g. Virtuoso, or Corporate Memory). techniques, e.g. query rewriting, and language transformation rely on the expressivity and flexibi...

    Paweł Szmeja, Eric Prud’hommeaux in Intelligent Systems, Technologies and Applications (2021)

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    Chapter

    Semantic Interoperability

    Interoperability, on the semantic level, deals with shared understanding of data, between IoT artifacts. Positioned on top of the syntactic layer, semantic interoperability facilitates solutions to problems that ...

    Maria Ganzha, Marcin Paprzycki in Interoperability of Heterogeneous IoT Plat… (2021)

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    Chapter

    INTER-Meth: A Methodological Approach for the Integration of Heterogeneous IoT Systems

    The Internet of Things (IoT) is a jeopardized ecosystem in which heterogeneity is intrinsic at all levels, from physical devices to communication protocols till high-level application semantics. The absence of...

    Giancarlo Fortino, Raffaele Gravina in Interoperability of Heterogeneous IoT Plat… (2021)

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    Chapter and Conference Paper

    Integrating the AAL CasAware Platform Within an IoT Ecosystem, Leveraging the INTER-IoT Approach

    CasAware is an Ambient-Assisted Living platform, which aims at improving level of comfort and well-being of inhabitants, while optimizing energy consumption. A key feature for a successful realization of such a p...

    Gianfranco E. Modoni, Enrico G. Caldarola in Proceedings of First International Confere… (2020)

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    Chapter and Conference Paper

    Towards High Throughput Semantic Translation

    One of “urban legends” of today’s computer science is: use of semantic technologies can become a serious performance bottleneck. It is even possible that this, widely spread, belief is one of the reasons of slow ...

    Maria Ganzha, Marcin Paprzycki in Interoperability, Safety and Security in I… (2018)

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    Chapter

    Towards Semantic Interoperability Between Internet of Things Platforms

    Lack of interoperability between Internet of Things (IoT) platforms, systems, and applications is one of serious problems that prevents its even more rapid adoption. As long as individual IoT platforms cannot ...

    Maria Ganzha, Marcin Paprzycki in Integration, Interconnection, and Interope… (2018)

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    Chapter

    Dimensions of Semantic Similarity

    Semantic similarity is a broad term used to describe many tools, models and methods applied in knowledge bases, semantic graphs, text disambiguation, ontology matching and more. Because of such broad scope it ...

    Paweł Szmeja, Maria Ganzha, Marcin Paprzycki in Advances in Data Analysis with Computation… (2018)

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    Chapter and Conference Paper

    Towards Common Vocabulary for IoT Ecosystems—preliminary Considerations

    The INTER-IoT project aims at delivering a comprehensive solution to the problem of interoperability of Internet of Things platforms. Henceforth, semantic interoperability also has to be addressed. This should...

    Maria Ganzha, Marcin Paprzycki in Intelligent Information and Database Syste… (2017)

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    Chapter and Conference Paper

    Tools for Ontology Matching—Practical Considerations from INTER-IoT Perspective

    There exists a large body of scientific literature devoted to ontology matching, aligning, map** translating and merging. With it, comes a long list (90+) of tools that support various aspects of these opera...

    Maria Ganzha, Marcin Paprzycki in Internet and Distributed Computing Systems (2016)

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    Chapter and Conference Paper

    Reengineering and Extending the Agents in Grid Ontology

    Ontology engineering, despite considerable progress, is still relatively new and dynamically evolving discipline. As a result, the universal standards for creating and/or editing an ontology, have not been establ...

    Paweł Szmeja, Katarzyna Wasielewska, Maria Ganzha in Large-Scale Scientific Computing (2014)

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    Chapter

    Using Ontologies to Manage Resources in Grid Computing: Practical Aspects

    This chapter shows how semantic technologies can enable the development of an agent-based intelligent middleware for the Grid (the Agents in Grid system). Resource providing agents are organized in teams and nego...

    Michał Drozdowicz, Maria Ganzha, Katarzyna Wasielewska in Agreement Technologies (2013)

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    Chapter and Conference Paper

    Agents in Grid System — Design and Implementation

    We are develo** an agent-based intelligent middleware for the Grid. It is based on agent teams as resource brokers and managers. Our earlier work resulted in a prototype implementation. However, our recent r...

    Katarzyna Wasielewska, Michał Drozdowicz, Paweł Szmeja in Large-Scale Scientific Computing (2012)