Company Filing History:
Years Active: 2017-2023
Title: The Innovations of Marc C. Hadfield
Introduction
Marc C. Hadfield is an accomplished inventor based in New York, NY. He holds a total of 3 patents that showcase his expertise in semantic indexing and data distribution technologies. His work has significantly contributed to advancements in the field of data management and processing.
Latest Patents
One of Marc's latest patents is a semantic indexing engine. This invention describes a method for distributing n-tuples over a cluster of triple-store machines. It involves storing each n-tuple as text in a distributed file system using a key-value store. Each machine in the cluster is equipped with a resident semantic data lake component that accesses one or more persistent RDF triplestores for the n-tuple data stored on each machine. The method also defines one part of each n-tuple as a partition variable to ensure data locality within each respective n-tuple. Additionally, the method includes inserting graphs into a key/value store to determine how the key/value store distributes data across multiple servers. This is achieved by generating textual triple data and storing it in key-value stores, where a fourth element of the triple comprises the key, and a value associated with the key includes all the triples about a subject. The data is then indexed in the key-value store in an RDF triplestore using a partition based on the fourth element.
Career Highlights
Marc C. Hadfield has made significant strides in his career, particularly through his work at Franz, Inc. His innovative contributions have positioned him as a key figure in the realm of semantic technologies and data management.
Collaborations
Marc has collaborated with notable colleagues, including Jannes Aasman and Parsa Mirhaji. Their combined expertise has fostered an environment of innovation and creativity within their projects.
Conclusion
Marc C. Hadfield's contributions to the field of semantic indexing and data distribution are noteworthy. His patents reflect a deep understanding of complex data systems and their applications. His work continues to influence advancements in technology and data management.