Marcin Wylot, PhD

Research Expertise

artificial intelligence
Big Data
Internet of Things
distributed databases
Linked Data
Theoretical Computer Science
Computer Science Applications
Information Systems
Computational Theory and Mathematics

About

**Dedicated to empowering organizations through data-driven and artificial intelligence solutions to optimize workflows and enhance revenue streams.** With over two decades of comprehensive experience in Computer Science across industry and academia, I specialize in devising innovative solutions that streamline operations and boost profitability, adhering to the principle of simplicity (KISS paradigm). My expertise spans the entire spectrum of the data processing pipeline – from data collection and modeling to analysis, insight extraction, and the deployment of AI solutions in production environments. I offer strategic guidance to companies embarking on AI-powered initiatives and assist them in navigating complex data transformations. Throughout my career, I’ve led dynamic teams within startup environments, leveraging my expertise to drive innovation and optimize performance. As a trusted consultant and advisor, I’ve provided strategic guidance to companies navigating complex challenges and embarking on transformative AI initiatives. Additionally, I’ve played a pivotal role in mentoring and developing talent, guiding individuals through the intricacies of industry-specific projects and fostering their professional growth. With a knack for distilling complex concepts into actionable insights, I excel in delivering impactful presentations at industry conferences and driving the adoption of cutting-edge technologies. My commitment to excellence, coupled with a keen eye for efficiency, has consistently delivered tangible results, propelling organizations toward success in the ever-evolving landscape of data-driven solutions.

Legacy Map

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Publications

NoSQL Databases for RDF: An Empirical Evaluation
Advanced Information Systems Engineering
2013
RDF Data Storage and Query Processing Schemes
ACM Computing Surveys
2018
TripleProv
Proceedings of the 23rd international conference on World wide web
2014
DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud
IEEE Transactions on Knowledge and Data Engineering
2016
Linked Data
Unknown Venue
2018
dipLODocus[RDF]—Short and Long-Tail RDF Analytics for Massive Webs of Data
The Semantic Web – ISWC 2011
2011
Executing Provenance-Enabled Queries over Web Data
Proceedings of the 24th International Conference on World Wide Web
2015
Storing, Tracking, and Querying Provenance in Linked Data
IEEE Transactions on Knowledge and Data Engineering
2017
BowlognaBench—Benchmarking RDF Analytics
Lecture Notes in Business Information Processing
2012
RDF4Led
Proceedings of the 8th International Conference on the Internet of Things
2018
A Comparison of Data Structures to Manage URIs on the Web of Data
The Semantic Web. Latest Advances and New Domains
2015
A demonstration of TripleProv
Proceedings of the VLDB Endowment
2015
Centralized RDF Query Processing
Linked Data
2018
Linked Data Management
Handbook of Big Data Technologies
2017
Distributed Reasoning of RDF Data
Linked Data
2018
Provenance Management for Linked Data
Linked Data
2018
Processing of RDF Stream Data
Linked Data
2018
Distributed RDF Query Processing
Linked Data
2018
Native Distributed RDF Systems
Encyclopedia of Big Data Technologies
2019
Adaptive RDF Query Processing Based on Provenance
Lecture Notes in Computer Science
2015
Benchmarking RDF Query Engines and Instance Matching Systems
Linked Data
2018
Non-native RDF Storage Engines
Handbook of Big Data Technologies
2017

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