Knowledge Graph Digest

When we were launching KgBase on Product Hunt, we had the advantage of using our own platform itself to maximize our number of upvotes on Launch Day. How We Did It The first step is finding a hunter two months in advance. We loaded the entire ProductHunt dataset into KgBase to find which hunter had hunted the most successful products for our space. For example, we identified active hunters who had a significant number of followers. Then we looked at products he launched in our space to see how they performed. After analyzing how large his following is in Product

In the software development process, testing plays an important role. Testing ensures the software’s ultimate quality. There are various phases of testing throughout the development process including Unit testing, Integration testing, System testing, Acceptance testing, and User Acceptance Testing. This last phase is particularly important because it is at this point where software is validated to ensure all of the appropriate business requirements have been satisfied before the software is released to the general market. Software development places heavy emphasis on code creation – sometimes to the detriment of quality assurance. Without adequate testing, organizations find themselves with poor quality

Understanding your data is the key to almost any kind of fundraising. While we talked about VC fundraising in a previous post, we want to explore some other forms of fundraising. In this post we’ll talk about charitable fundraising. We will use KgBase to create a graph of donors, projects, and donations in order to understand which donors are right for certain projects. We begin by importing our donor list, their donations, and the projects they supported into KgBase. Our goal is to define what kind of projects they supported - healthcare, education, makerspaces, etc. - and then assess

“Knowledge is a familiarity, awareness, or understanding of someone or something, such as facts, information, descriptions, or skills, which is acquired through experience or education by perceiving, discovering, or learning.” - Wikipedia “Knowledge” is a human-centric term as intelligent beings are inherently capable of understanding and interpreting facts and the relationship between them. The accumulation of this knowledge gained over time makes us able to establish new inferences and relationships between new and historically gained information. With the advent of modern computational technologies, the representation of data(“knowledge” or ”information”) became the utmost priority for researchers and organizations. Not only

We live in an age of data. Companies of all sizes are generating more data than ever, and  figuring out how to mine it for valuable business insights has become big business. But even advanced data analytics tools only reveal some of those insights, and few are capable of representing that data visually in a way anyone can understand. Collecting the data is the easy part, but gaining a real understanding of how these various data sets are connected is trickier. Being able to make those connections in an agile way and actually see how ideas, organizations, and people are