AI Golden Record Pipeline
Auto Content Tagging
486 Patterson Ave
Winston-Salem, NC 27101
– – –
11 Park Place
New York, NY, 10007
– – –
Bagmane Laurel, Krishnappa
Garden, C V Raman Nagar,
Karnataka 560093, India
– – –
1644 Platte Street
Denver, CO 80202
– – –
Lange Dreef 11
4131 NJ Vianen
Fluree has officially released native JSON-LD support. But what exactly is JSON-LD, and why does it matter?
For developers used to working with document data stores like MongoDB, JSON-LD is a bridge to the world of linked data. Linked data is the reason Google has been able to provide such unique and sophisticated services to consumers — but that power is about to expand to far more than simple search engine optimization. Linked data allows organizations, people, and applications to access and share distributed sets of knowledge under global semantic standards- a powerful concept in the context of the modern data age.
At Fluree, we are big fans of the semantic web standards – especially RDF – because they allow for data to be organized and exchanged with universal meaning. Semantic standards are necessary for a future internet in which machines and humans can seamlessly connect to, leverage, and collaborate around disparate sets of linked data. The implications – especially in the era of emerging AI technologies, enterprise knowledge graphs, and industry data sharing ecosystems – are profound.
But the simplicity of JSON backfires when it comes to any case of reusing, sharing, or linking data. Without adding the context of data types, classifications, and relationships, data can easily become isolated, leading to a fragmented and siloed understanding of its implications.
That’s why we’re passionate about the JSON-LD specification — which Fluree has fully implemented and now supports.
JSON-LD is JSON for linked data. In fact, A JSON-LD document is always a valid JSON document. Broadly speaking, there are two core capabilities that the “LD” part provides:
An IRI (Internationalized Resource Identifier) is a generalization of the more commonly known URI (Uniform Resource Identifier). While URIs are limited to a subset of the ASCII character set, IRIs provide a way to include characters from a wider range, including Unicode. This expansion allows for the use of scripts and characters from various languages around the world, making it more globally inclusive.
In the context of linked data and the semantic web, IRIs are used to uniquely identify resources. This ensures that there’s no ambiguity when referring to particular entities, concepts, or relationships, regardless of where they originate or the language they’re represented in.
@context – The @context tag in a JSON-LD payload gives us just that – context – in the form of mapping objects in the document to a vocabulary. For example, one might map @context to schema.org, a well-known reference site for structured data schemas.
@id – The @id tag gives us a way to establish uniqueness for data – which is fundamentally critical to prevent ambiguity and duplication in linked data systems. The @id tag is sort of like a digital version of an address where we can ‘park’ unique data at URIs and point to them later on. Uniqueness in data allows us to distinguish between things or recognize that one thing in a dataset is the exact same as one thing in another dataset.
@type – Represents the data type or class of the object, providing a way to categorize the data in terms of what it represents in the real world.
"name": "Introduction to JSON-LD",
"name": "John Doe"
"articleBody": "JSON-LD is a powerful way to represent linked data using JSON. It combines the simplicity of JSON with the capabilities of linked data, allowing for richer metadata, better SEO, and improved data interoperability..."
JSON-LD gives developers a familiar format in which to deliver the value of linked data and provides organizations with an easy path to integrate the benefits of linked data into a broader range of their data management operations.
Linked data is the practice of connecting data across domains through the use of semantic standards. Linked data uses standardized schemas known as ontologies to transform information into organized, connected, and contextual knowledge. These properties allow data to become interlinked and machine-readable on the web and promote knowledge discovery and federated analytics. Linked data can be applied within the enterprise in the form of semantic knowledge graphs, on the public internet in the form of Open Linked Data, or in a hybrid model in the form of semantic data sharing ecosystems.
JSON-LD allows organizations to gain all the benefits of linked data – without the hassle and overhead of transforming data or forcing developers to use a foreign data format. JSON-LD immediately increases the value of JSON documents by making the data stored within them interoperable with other linked data systems – such as internal knowledge graphs or on the open linked web – as well as by providing an accessible medium for developers and applications to interact with linked data.
Here’s a few examples of how JSON-LD makes an impact:
At Fluree, our vision of the Web3.0 involves an internet of trusted and linked data. The problem is that our tools haven’t addressed the need for data to be linked – developers have found document databases quite preferable for simplicity’s sake. It’s time to prepare our data — at the source of its creation — with capabilities for interoperability and exchange across disparate data systems. JSON-LD is that needed bridge. Try JSON-LD out for yourself here. There are emerging innovations for trusted and interoperable data exchange that JSON-LD will help fuel – including personal knowledge graphs and verifiable credentials. We’ll cover examples of those specifications in future blog posts.
Blurb about what the company does and how they interact with Fluree
Visit Partner Site
Visit Partner Site More Details
Blurb about what the company does and how they interact with Fluree blah blah blah minim officia amet nulla cupidatat eu id adipisicing velit aliquip elit labore labore aliquip exercitation enim do ea sunt nisi aute amet magna cillum culpa elit voluptate culpa officia eiusmod sunt ipsum duis laborum magna tempor cillum esse do sunt
"*" indicates required fields
Follow us on Linkedin
Join our Mailing List
Subscribe to our LinkedIn Newsletter
Subscribe to our YouTube channel
Partner, Analytic Strategy Partners; Frederick H. Rawson Professor in Medicine and Computer Science, University of Chicago and Chief of the Section of Biomedical Data Science in the Department of Medicine
Robert Grossman has been working in the field of data science, machine learning, big data, and distributed computing for over 25 years. He is a faculty member at the University of Chicago, where he is the Jim and Karen Frank Director of the Center for Translational Data Science. He is the Principal Investigator for the Genomic Data Commons, one of the largest collections of harmonized cancer genomics data in the world.
He founded Analytic Strategy Partners in 2016, which helps companies develop analytic strategies, improve their analytic operations, and evaluate potential analytic acquisitions and opportunities. From 2002-2015, he was the Founder and Managing Partner of Open Data Group (now ModelOp), which was one of the pioneers scaling predictive analytics to large datasets and helping companies develop and deploy innovative analytic solutions. From 1996 to 2001, he was the Founder and CEO of Magnify, which is now part of Lexis-Nexis (RELX Group) and provides predictive analytics solutions to the insurance industry.
Robert is also the Chair of the Open Commons Consortium (OCC), which is a not-for-profit that manages and operates cloud computing infrastructure to support scientific, medical, health care and environmental research.
Connect with Robert on Linkedin
Founder, DataStraits Inc., Chief Revenue Officer, 3i Infotech Ltd
Sudeep Nadkarni has decades of experience in scaling managed services and hi-tech product firms. He has driven several new ventures and corporate turnarounds resulting in one IPO and three $1B+ exits. VC/PE firms have entrusted Sudeep with key executive roles that include entering new opportunity areas, leading global sales, scaling operations & post-merger integrations.
Sudeep has broad international experience having worked, lived, and led firms operating in US, UK, Middle East, Asia & Africa. He is passionate about bringing innovative business products to market that leverage web 3.0 technologies and have embedded governance risk and compliance.
Connect with Sudeep on Linkedin
CEO, Data4Real LLC
Julia Bardmesser is a technology, architecture and data strategy executive, board member and advisor. In addition to her role as CEO of Data4Real LLC, she currently serves as Chair of Technology Advisory Council, Women Leaders In Data & AI (WLDA). She is a recognized thought leader in data driven digital transformation with over 30 years of experience in building technology and business capabilities that enable business growth, innovation, and agility. Julia has led transformational initiatives in many financial services companies such as Voya Financial, Deutsche Bank Citi, FINRA, Freddie Mac, and others.
Julia is a much sought-after speaker and mentor in the industry, and she has received recognition across the industry for her significant contributions. She has been named to engatica 2023 list of World’s Top 200 Business and Technology Innovators; received 2022 WLDA Changemaker in AI award; has been named to CDO Magazine’s List of Global Data Power Wdomen three years in the row (2020-2022); named Top 150 Business Transformation Leader by Constellation Research in 2019; and recognized as the Best Data Management Practitioner by A-Team Data Management Insight in 2017.
Connect with Julia on Linkedin
Senior Advisor, Board Member, Strategic Investor
After nine years leading the rescue and turnaround of Banco del Progreso in the Dominican Republic culminating with its acquisition by Scotiabank (for a 2.7x book value multiple), Mark focuses on advisory relationships and Boards of Directors where he brings the breadth of his prior consulting and banking/payments experience.
In 2018, Mark founded Alberdi Advisory Corporation where he is engaged in advisory services for the biotechnology, technology, distribution, and financial services industries. Mark enjoys working with founders of successful businesses as well as start-ups and VC; he serves on several Boards of Directors and Advisory Boards including MPX – Marco Polo Exchange – providing world-class systems and support to interconnect Broker-Dealers and Family Offices around the world and Fluree – focusing on web3 and blockchain. He is actively engaged in strategic advisory with the founder and Executive Committee of the Biotechnology Institute of Spain with over 50 patents and sales of its world-class regenerative therapies in more than 30 countries.
Prior work experience includes leadership positions with MasterCard, IBM/PwC, Kearney, BBVA and Citibank. Mark has worked in over 30 countries – extensively across Europe and the Americas as well as occasional experiences in Asia.
Connect with Mark on Linkedin
Chair of the Board, Enterprise Data Management Council
Peter Serenita was one of the first Chief Data Officers (CDOs) in financial services. He was a 28-year veteran of JPMorgan having held several key positions in business and information technology including the role of Chief Data Officer of the Worldwide Securities division. Subsequently, Peter became HSBC’s first Group Chief Data Officer, focusing on establishing a global data organization and capability to improve data consistency across the firm. More recently, Peter was the Enterprise Chief Data Officer for Scotiabank focused on defining and implementing a data management capability to improve data quality.
Peter is currently the Chairman of the Enterprise Data Management Council, a trade organization advancing data management globally across industries. Peter was a member of the inaugural Financial Research Advisory Committee (under the U.S. Department of Treasury) tasked with improving data quality in regulatory submissions to identify systemic risk.
Connect with Peter on Linkedin
Turn Data Chaos into Data Clarity
Enter details below to access the whitepaper.
Pawan came to Fluree via its acquisition of ZettaLabs, an AI based data cleansing and mastering company.His previous experiences include IBM where he was part of the Strategy, Business Development and Operations team at IBM Watson Health’s Provider business. Prior to that Pawan spent 10 years with Thomson Reuters in the UK, US, and the Middle East. During his tenure he held executive positions in Finance, Sales and Corporate Development and Strategy. He is an alumnus of The Georgia Institute of Technology and Georgia State University.
Connect with Pawan on Linkedin
Andrew “Flip” Filipowski is one of the world’s most successful high-tech entrepreneurs, philanthropists and industry visionaries. Mr. Filipowski serves as Co-founder and Co-CEO of Fluree, where he seeks to bring trust, security, and versatility to data.
Mr. Filipowski also serves as co-founder, chairman and chief executive officer of SilkRoad Equity, a global private investment firm, as well as the co-founder, of Tally Capital.
Mr. Filipowski was the former COO of Cullinet, the largest software company of the 1980’s. Mr. Filipowski founded and served as Chairman and CEO of PLATINUM technology, where he grew PLATINUM into the 8th largest software company in the world at the time of its sale to Computer Associates for $4 billion – the largest such transaction for a software company at the time. Upside Magazine named Mr. Filipowski one of the Top 100 Most Influential People in Information Technology. A recipient of Entrepreneur of the Year Awards from both Ernst & Young and Merrill Lynch, Mr. Filipowski has also been awarded the Young President’s Organization Legacy Award and the Anti-Defamation League’s Torch of Liberty award for his work fighting hate on the Internet.
Mr. Filipowski is or has been a founder, director or executive of various companies, including: Fuel 50, Veriblock, MissionMode, Onramp Branding, House of Blues, Blue Rhino Littermaid and dozens of other recognized enterprises.
Connect with Flip on Linkedin
Brian is the Co-founder and Co-CEO of Fluree, PBC, a North Carolina-based Public Benefit Corporation.
Platz was an entrepreneur and executive throughout the early internet days and SaaS boom, having founded the popular A-list apart web development community, along with a host of successful SaaS companies. He is now helping companies navigate the complexity of the enterprise data transformation movement.
Previous to establishing Fluree, Brian co-founded SilkRoad Technology which grew to over 2,000 customers and 500 employees in 12 global offices. Brian sits on the board of Fuel50 and Odigia, and is an advisor to Fabric Inc.
Connect with Brian on Linkedin
Eliud Polanco is a seasoned data executive with extensive experience in leading global enterprise data transformation and management initiatives. Previous to his current role as President of Fluree, a data collaboration and transformation company, Eliud was formerly the Head of Analytics at Scotiabank, Global Head of Analytics and Big Data at HSBC, head of Anti-Financial Crime Technology Architecture for U.S.DeutscheBank, and Head of Data Innovation at Citi.
In his most recent role as Head of Analytics and Data Standards at Scotiabank, Eliud led a full-spectrum data transformation initiative to implement new tools and technology architecture strategies, both on-premises as well as on Cloud, for ingesting, analyzing, cleansing, and creating consumption ready data assets.
Connect with Eliud on Linkedin
Get the right data into the right hands.
Build your Verifiable Credentials/DID solution with Fluree.
Wherever you are in your Knowledge Graph journey, Fluree has the tools and technology to unify data based on universal meaning, answer complex questions that span your business, and democratize insights across your organization.
Build real-time data collaboration that spans internal and external organizational boundaries, with protections and controls to meet evolving data policy and privacy regulations.
Fluree Sense auto-discovers data fitting across applications and data lakes, cleans and formats them into JSON-LD, and loads them into Fluree’s trusted data platform for sharing, analytics, and re-use.
Transform legacy data into linked, semantic knowledge graphs. Fluree Sense automates the data mappings from local formats to a universal ontology and transforms the flat files into RDF.
Whether you are consolidating data silos, migrating your data to a new platform, or building an MDM platform, we can help you build clean, accurate, and reliable golden records.
Our enterprise users receive exclusive support and even more features. Book a call with our sales team to get started.
Download Stable Version
Download Pre-Release Version
Register for Alpha Version
By downloading and running Fluree you agree to our terms of service (pdf).
Hello this is some content.