**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.

Marcin Wylot, PhD

Research Interests

artificial intelligence

Big Data

Internet of Things

distributed databases

Linked Data

Theoretical Computer Science

Computer Science Applications

Information Systems

Computational Theory and Mathematics

About

Publications

NoSQL Databases for RDF: An Empirical Evaluation

Advanced Information Systems Engineering / Jan 01, 2013

Cudré-Mauroux, P., Enchev, I., Fundatureanu, S., Groth, P., Haque, A., Harth, A., Keppmann, F. L., Miranker, D., Sequeda, J. F., & Wylot, M. (2013). NoSQL Databases for RDF: An Empirical Evaluation. In Lecture Notes in Computer Science (pp. 310–325). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-41338-4_20

RDF Data Storage and Query Processing Schemes

ACM Computing Surveys / Sep 06, 2018

Wylot, M., Hauswirth, M., Cudré-Mauroux, P., & Sakr, S. (2018). RDF Data Storage and Query Processing Schemes: A Survey. ACM Computing Surveys, 51(4), 1–36. https://doi.org/10.1145/3177850

TripleProv

Proceedings of the 23rd international conference on World wide web / Apr 07, 2014

Wylot, M., Cudre-Mauroux, P., & Groth, P. (2014, April 7). TripleProv: efficient processing of lineage queries in a native RDF store. Proceedings of the 23rd International Conference on World Wide Web. https://doi.org/10.1145/2566486.2568014

DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud

IEEE Transactions on Knowledge and Data Engineering / Mar 01, 2016

Wylot, M., & Cudre-Mauroux, P. (2016). DiploCloud: Efficient and Scalable Management of RDF Data in the Cloud. IEEE Transactions on Knowledge and Data Engineering, 28(3), 659–674. https://doi.org/10.1109/tkde.2015.2499202

Linked Data

Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Linked Data. Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3

dipLODocus[RDF]—Short and Long-Tail RDF Analytics for Massive Webs of Data

The Semantic Web – ISWC 2011 / Jan 01, 2011

Wylot, M., Pont, J., Wisniewski, M., & Cudré-Mauroux, P. (2011). dipLODocus[RDF]—Short and Long-Tail RDF Analytics for Massive Webs of Data. In Lecture Notes in Computer Science (pp. 778–793). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-25073-6_49

Executing Provenance-Enabled Queries over Web Data

Proceedings of the 24th International Conference on World Wide Web / May 18, 2015

Wylot, M., Cudre-Mauroux, P., & Groth, P. (2015, May 18). Executing Provenance-Enabled Queries over Web Data. Proceedings of the 24th International Conference on World Wide Web. https://doi.org/10.1145/2736277.2741143

Storing, Tracking, and Querying Provenance in Linked Data

IEEE Transactions on Knowledge and Data Engineering / Aug 01, 2017

Wylot, M., Cudre-Mauroux, P., Hauswirth, M., & Groth, P. (2017). Storing, Tracking, and Querying Provenance in Linked Data. IEEE Transactions on Knowledge and Data Engineering, 29(8), 1751–1764. https://doi.org/10.1109/tkde.2017.2690299

BowlognaBench—Benchmarking RDF Analytics

Lecture Notes in Business Information Processing / Jan 01, 2012

Demartini, G., Enchev, I., Wylot, M., Gapany, J., & Cudré-Mauroux, P. (2012). BowlognaBench—Benchmarking RDF Analytics. In Data-Driven Process Discovery and Analysis (pp. 82–102). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-34044-4_5

RDF4Led

Proceedings of the 8th International Conference on the Internet of Things / Oct 15, 2018

Le-Tuan, A., Hayes, C., Wylot, M., & Le-Phuoc, D. (2018, October 15). RDF4Led: an RDF engine for lightweight edge devices. Proceedings of the 8th International Conference on the Internet of Things. https://doi.org/10.1145/3277593.3277600

A Comparison of Data Structures to Manage URIs on the Web of Data

The Semantic Web. Latest Advances and New Domains / Jan 01, 2015

Mavlyutov, R., Wylot, M., & Cudre-Mauroux, P. (2015). A Comparison of Data Structures to Manage URIs on the Web of Data. In Lecture Notes in Computer Science (pp. 137–151). Springer International Publishing. https://doi.org/10.1007/978-3-319-18818-8_9

A demonstration of TripleProv

Proceedings of the VLDB Endowment / Aug 01, 2015

Wylot, M., Cudré-Mauroux, P., & Groth, P. (2015). A demonstration of TripleProv: tracking and querying provenance over web data. Proceedings of the VLDB Endowment, 8(12), 1992–1995. https://doi.org/10.14778/2824032.2824119

Centralized RDF Query Processing

Linked Data / Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Centralized RDF Query Processing. In Linked Data (pp. 33–49). Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3_3

Linked Data Management

Handbook of Big Data Technologies / Jan 01, 2017

Hauswirth, M., Wylot, M., Grund, M., Groth, P., & Cudré-Mauroux, P. (2017). Linked Data Management. In Handbook of Big Data Technologies (pp. 307–338). Springer International Publishing. https://doi.org/10.1007/978-3-319-49340-4_9

Distributed Reasoning of RDF Data

Linked Data / Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Distributed Reasoning of RDF Data. In Linked Data (pp. 109–126). Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3_6

Provenance Management for Linked Data

Linked Data / Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Provenance Management for Linked Data. In Linked Data (pp. 181–195). Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3_8

Processing of RDF Stream Data

Linked Data / Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Processing of RDF Stream Data. In Linked Data (pp. 85–108). Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3_5

Distributed RDF Query Processing

Linked Data / Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Distributed RDF Query Processing. In Linked Data (pp. 51–83). Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3_4

Native Distributed RDF Systems

Encyclopedia of Big Data Technologies / Jan 01, 2019

Wylot, M., & Sakr, S. (2019). Native Distributed RDF Systems. In Encyclopedia of Big Data Technologies (pp. 1171–1178). Springer International Publishing. https://doi.org/10.1007/978-3-319-77525-8_226

Adaptive RDF Query Processing Based on Provenance

Lecture Notes in Computer Science / Jan 01, 2015

Wylot, M., Cudré-Mauroux, P., & Groth, P. (2015). Adaptive RDF Query Processing Based on Provenance. In Provenance and Annotation of Data and Processes (pp. 264–266). Springer International Publishing. https://doi.org/10.1007/978-3-319-16462-5_29

Benchmarking RDF Query Engines and Instance Matching Systems

Linked Data / Jan 01, 2018

Sakr, S., Wylot, M., Mutharaju, R., Le Phuoc, D., & Fundulaki, I. (2018). Benchmarking RDF Query Engines and Instance Matching Systems. In Linked Data (pp. 127–179). Springer International Publishing. https://doi.org/10.1007/978-3-319-73515-3_7

Non-native RDF Storage Engines

Handbook of Big Data Technologies / Jan 01, 2017

Hauwirth, M., Wylot, M., Grund, M., Sakr, S., & Cudré-Mauroux, P. (2017). Non-native RDF Storage Engines. In Handbook of Big Data Technologies (pp. 339–364). Springer International Publishing. https://doi.org/10.1007/978-3-319-49340-4_10

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