Unique Knowledge Graphs Applications and Use Cases
Graph analytics will grow in the next few years due to the need to ask complex questions across complex data, which is not always practical or even possible at scale using SQL queries. Graph processing and graph database management systems (DBMSs) will grow at 100 percent annually through 2022 to accelerate data preparation and analysis.
Companies are using knowledge graphs to understand their customers, business decisions, and product lines. A knowledge graph is meant to represent facts — both qualitative and quantitative — about the objects it describes, allowing users or machines to infer those facts in order to draw new factual conclusions. They show relationships between objects, the nature of those relationships, and what those relationships might implicate.
Graph data stores can efficiently model, explore, and query data with complex interrelationships across data silos, but the need for specialized skills has limited their adoption to date. Here, I present a no-code tool: KgBase, and discuss its potential to transform enterprise data management.
So What is KgBase?
KgBase is a next gen integration tool for data teams that allows them to operationalize their enterprise data. Product and business managers, who aren’t data engineers but have domain expertise, can access their organization’s data to help companies remain competitive.
The management of data assets and personnel has become tiresome. This complexity is a result of siloed data across a company’s lines of business in addition to complex tools and solutions meant for handling that data. These factors create bottlenecks that prevent businesses from generating actionable insights that could keep their organizations ahead in an increasingly competitive environment.
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Product owners look to KgBase when:
- They struggle to source reliable and accurate data from internal and external data sources.
- They struggle with data collection because of disjointed systems and data integration issues.
- In any exercise that involves domain experts, who may or may not be technically savvy with coding.
KgBase is an automated tool that can integrate and transform disparate data sources into common models and ontology. This tool features an intuitive GUI with simplistic visualization, governance, and reporting features so technically-challenged users can find business insights without needing to code.
To automate and centralize data management and reporting, data teams use KgBase to:
- Ingest data to improve their data down the architectural pipeline.
- Transform existing data sources that map both new and existing data fields.
- Control access, assign business rules, and generate reports that maintain data lineage and quality.
We take pride in giving industry leaders across management consulting, defense, and mining, a competitive edge to access data across their organizations. Using KgBase, you can shrink development cycles to prepare and ensure data quality and expand your team’s ability to deliver recommendations on ‘best actions’ to take within your organization.
- Integrate data sources under a common ontology using an automation workflow.
- Leverage neural network techniques to analyze connections and relationships, using a user interface without code.
- Given these schema constraints, business rules, and generated reports if certain constraints have been broken.
- Use a virtualization mechanism so users can interact with data without affecting the original data in storage.
See KgBase in action!
Top 10 Knowledge Graph Use Cases
There are many use cases for implementing knowledge graphs which really demonstrate a dynamic range. We’ll be employing relational maps like this via KgBase moving forward where it makes sense, and we encourage you to experiment with the maps below (and click through to the full maps if you dare).
By zooming in on certain nodes, you’ll see who’s connected with whom and which companies are connected to those people, resulting in this visually stunning and fascinating network of people, products, and their relationships. Enjoy!
The companies we work with are innovative and mission-driven. They know how to take advantage of the latest technologies to make smart, company-wide decisions. They turn to tech products like KgBase to visualize company initiatives from project management to consulting.
At this point in the blog post, I’ll outline those angles, and from there, you can go on to examine our public knowledge graphs, as well as make your own private graphs.
Startups Ecosystem Graph
We visualized hundreds of companies, investors, and investment rounds to gain a visual understanding of the vast network. As you can see above, it touches many people and companies at various levels.
You can view the startup ecosystem project here.
Tracking public Tickers on Reddit
We built a knowledge graph to track the number of times companies are mentioned on Reddit in real time. You can visualize the most popular tickers discussed on the r/WSB and r/Stocks subreddits as a tree map.
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Oscar Nominations & Winners
A visualization of the full list of 2020 Oscar Nominations and Final Winners.
You can see the Oscar project here.
Marta’s Milky Way
In collaboration with the American Museum of Natural History, we mapped out the galaxy containing our solar system in support of their STEM program.
To journey through our galaxy, see the project here.
TikTok and ByteDance Management
ByteDance Ltd. is a Chinese multinational internet technology founded by Zhang Yiming in 2012. ByteDance is the developer of the video-sharing social networking service Douyin (TikTok). We visualized this vast corporate empire to see just how they’re all connected.
Check out the project here
How much do NBA teams pay their players? We built this simple no-code knowledge graph to visualize player salaries by team, where larger nodes indicate higher pay.
Check out the NBA salary project here.
The large and diverse scope of artists and works of art that have been exhibited at the MoMA throughout its history makes for an interesting subject worth examining. The visualizations of this project specifically explore the network of artists featured together in the MoMA’s exhibitions from the 19th and 20th centuries, representing both male and female artists.
See the project here.
500 Women Scientists
We built this knowledge graph to highlight the contributions of women in science — like discovering radioactivity, dark matter, and the double helix structure of DNA. Women always have been, and continue to be, integral in the scientific fields.
We want this to be a valuable resource for journalists, educators, policy makers and others seeking the expertise of women and minority STEMM professionals. Browse the world’s largest community of women and minorities in STEMM.
See the project here.
Within the field of data and computer science, it can be hard to keep up with the latest trends and technologies. Fortunately, many smart authors are contributing their expertise on these topics. The challenge now becomes which book to read. We mapped out the network of stories and their authors to make this task easier.
See the project here.
Tiger Cub Family
Business Insider compiled a 12-page list of three generations of billionaires, firms, and funds that are all connected to Julian Robertson of Tiger Management. The fund, now closed to outside investors, has spawned hundreds of seed funds, spin-offs, and billionaires.
We mapped out compiled information using past media reports, original reporting, social media searches, and publicly available data. You can explore the sprawling network of spin-offs from Julian Robertson’s Tiger Management.
See the project here.
Celebrity Dating Chart
Who’s the most eligible bachelor or bachelorette in the celebrity world? Well, me, of course… On a more serious note, keeping up with all of the flings and relationships of celebrities takes some serious effort. A project which maps out all of the celebrity gossip so you can skip the tabloids to find out what’s going on with your favorite actor or actress becomes a must.
Check out the love fest project here.
Our latest Immigrant Entrepreneur graph maps the startup ecosystem of founders and investors, their countries of origin, and the impact that they’ve made on the US economy.
You can see the project here.
Twitter Organizational Management
Twitter is an American microblogging and social networking service where users post and interact with messages known as “tweets.” Registered users can post, like, and re-tweet tweets, but unregistered users can only read them.
Did you know that you can export out all your juicy Twitter data and import it into a knowledge graph? By doing so, you can visualize all of your amazing tweets and followers and see what’s really happening in your chaotic Twitter universe.
This project can be found and accessed here.
COVID-19 Articles and Coverage
During the height of COVID-19, we used knowledge graphs to map out media coverage.
You can check out the project here.
Top Music Albums
Are you a music expert? Do you know your punk from your post-punk? If you can look it up in our awesome music catalog. If you click on a song, you are given a rich experience, showing details about the song, the artist, and more.
Check out this cool project and listen to some great music.
Princeton Founders and Startup Ecosystem
A visual mapping of the Princeton University tech, VC and startup ecosystem. This project was done in collaboration with Luke Armour of Chaac Ventures, an LA-based technology venture capital firm focused on the Princeton ecosystem.
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You can view the graph in action here.
For a deeper overview, you can read Luke’s summary here.
Most of the beauty products you purchase, from brands big and small, are probably controlled by one of these conglomerates. We graphed out the most popular beauty brands and companies — COTY, Estée Lauder, Johnson & Johnson, L’Oréal, Procter & Gamble, Shiseido, Unilever, Beiersdorf, AmorePacific, KAO Corporation, Revlon, LVMH, and KOSE.
Check out the project here.
See the write-up.
Analyzing Unstructured text: Mueller Report
The Report on the Investigation into Russian Interference in the 2016 Presidential Election — AKA the Mueller Report — documented and made a conclusion on Russian interference in the 2016 election in which Donald J. Trump became the 45th President of the United States. We imported this two-volume, 750+ page document and analyzed its unstructured text.
You can view the project here.
Citigroup is a SPACtacular market leader, closing 20% of all SPAC deals. Jefferies stands out by being 34% quicker to market than Citi Bank. Looking deeper into the relationships, we found that 20% of all SPAC leaders went to Harvard or UPENN… Go Ivy?
You can view the SPAC project here.
If you haven’t seen François Scharffe’s webinar yet, here ‘ya go: No Code Knowledge Graphs Webinar. Not ready to dive in yet? Read our recap.
- Ever heard of a Data Mesh? Learn more about it here.
If you are looking for new tools to tackle business challenges, check out our next-gen knowledge graph tool.