Matteo Bianchetti

FAQ About Matteo Bianchetti

• What is Matteo Bianchetti's address?

  Matteo Bianchetti is located at
  United States

• What is Matteo Bianchetti's job title?

  Matteo Bianchetti is a
  • Ontologist developing knowledge representation in the e-commerce and financial sector. • Semantic web and machine learning integration for ontology alignment. • Worked on ontology-based automated theorem proving in the field of conversational artificial intelligence, collaborating with natural language processing and machine learning teams. • Company-wide Shoutout Recognition Award at Varis. • Published articles on formal logic, semantics of natural languages, and mathematics (including article in top 10 mathematical logic journal). • MSC in Mathematics (3.92/4) and PhD in Logic and Philosophy of Mathematics (3.91/4) from the University of Notre Dame. TECHNICAL COMPETENCE • ONTOLOGY: RDF, RDF-star, RDFS, OWL, SKOS, SKOS-XL, SPARQL, SPARQL-star, SHACL, Protégé (incl. Cellfie, MappingMasterDSL), Smartlogic Semaphore, RDFox, GraphDB, Stardog. • PROGRAMMING: Python 3 (incl. Pandas, nltk, SQLite, and ontology manipulation libraries like RDFlib and SPARQLWrapper), XML, Git, noSQL, SQL, Regex, LaTeX, Jupyter Notebooks, Jupyter Lab, AWS SageMaker. • SPECIALTIES: Ontology and Taxonomy Design & Implementation, Knowledge Graphs, Semantic Web, Ontology alignment (also via machine learning with BERT and sentence-transformers), Controlled vocabularies and taxonomies, Schema-level Constructs (higher classes, property inheritance, defined classes, axioms, etc.), Data Management and Pipeline (Standards Setting, Cleaning, Modeling, Extraction, Integration, Validation, Ingestion, Transfer, Analytics, Semantic Enrichment, Retrieval), spreadsheet (csv and Excel) conversion to Triple Store, Mathematical Logic, Natural Language Semantics, W3C and industry standards and practices (including OBO Foundry, Basic Formal Ontology BFO, Common Core Ontologies CCOs, FIBO, and FAIR standards). • SELECTED ACHIEVEMENTS: (1) company-wide Shoutout Recognition Award (Varis); (2) published in top 10 mathematical logic journal. • WORKFLOW TOOLS: AWS SageMaker, Agile, Atlassian Jira, SharePoint, Git, GitHub, GitLab, MS Word, Google Suite. SELECTED PEER-REVIEWED PUBLICATIONS: (1) Infinite time Turing machines, Archive for Mathematical Logic, 2019; top 10 mathematical logic journal; (2) Formal ontology and mathematics, Topoi, 2023. WORK STATUS: US green card. Adp

• What industry does Matteo Bianchetti currently work in?

  Matteo Bianchetti currently works in the
  Adp

• What is Matteo Bianchetti's area of expertise?

  Matteo Bianchetti specializes in
  • Ontologist developing knowledge representation in the e-commerce and financial sector. • Semantic web and machine learning integration for ontology alignment. • Worked on ontology-based automated theorem proving in the field of conversational artificial intelligence, collaborating with natural language processing and machine learning teams. • Company-wide Shoutout Recognition Award at Varis. • Published articles on formal logic, semantics of natural languages, and mathematics (including article in top 10 mathematical logic journal). • MSC in Mathematics (3.92/4) and PhD in Logic and Philosophy of Mathematics (3.91/4) from the University of Notre Dame. TECHNICAL COMPETENCE • ONTOLOGY: RDF, RDF-star, RDFS, OWL, SKOS, SKOS-XL, SPARQL, SPARQL-star, SHACL, Protégé (incl. Cellfie, MappingMasterDSL), Smartlogic Semaphore, RDFox, GraphDB, Stardog. • PROGRAMMING: Python 3 (incl. Pandas, nltk, SQLite, and ontology manipulation libraries like RDFlib and SPARQLWrapper), XML, Git, noSQL, SQL, Regex, LaTeX, Jupyter Notebooks, Jupyter Lab, AWS SageMaker. • SPECIALTIES: Ontology and Taxonomy Design & Implementation, Knowledge Graphs, Semantic Web, Ontology alignment (also via machine learning with BERT and sentence-transformers), Controlled vocabularies and taxonomies, Schema-level Constructs (higher classes, property inheritance, defined classes, axioms, etc.), Data Management and Pipeline (Standards Setting, Cleaning, Modeling, Extraction, Integration, Validation, Ingestion, Transfer, Analytics, Semantic Enrichment, Retrieval), spreadsheet (csv and Excel) conversion to Triple Store, Mathematical Logic, Natural Language Semantics, W3C and industry standards and practices (including OBO Foundry, Basic Formal Ontology BFO, Common Core Ontologies CCOs, FIBO, and FAIR standards). • SELECTED ACHIEVEMENTS: (1) company-wide Shoutout Recognition Award (Varis); (2) published in top 10 mathematical logic journal. • WORKFLOW TOOLS: AWS SageMaker, Agile, Atlassian Jira, SharePoint, Git, GitHub, GitLab, MS Word, Google Suite. SELECTED PEER-REVIEWED PUBLICATIONS: (1) Infinite time Turing machines, Archive for Mathematical Logic, 2019; top 10 mathematical logic journal; (2) Formal ontology and mathematics, Topoi, 2023. WORK STATUS: US green card.

• Which languages does Matteo Bianchetti speak? 

  Matteo Bianchetti speaks the following languages:
  No languages available.

• Which industries has Matteo Bianchetti previously worked in?   

  Matteo Bianchetti has prior experience in the following industries:
  Varis , Broadridge , Astound , Cgiar Platform For Big Data In Agriculture , University Of Notre Dame , University Of St Andrews

• What is Matteo Bianchetti’s work experience?  

  Matteo Bianchetti has the following professional experience:
  Adp , Varis , Broadridge , Astound , Cgiar Platform For Big Data In Agriculture , University Of Notre Dame , University Of St Andrews .

• How can I find Matteo Bianchetti on LinkedIn?  

  You can view Matteo Bianchetti’s
  LinkedIn profile at LinkedIn URL.

• What are Matteo Bianchetti’s work email addresses?  

  Matteo Bianchetti’s work email addresses are
  [email protected] .

• What company does Matteo Bianchetti work for?  

  Matteo Bianchetti works at
  Adp