Using Knowledge Graph Data Models to Solve Real Business Problems
A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading
Increase the Re-Use of Knowledge Assets with Semantic Hubs
In my last blog, I discussed how knowledge graphs aggregate information from multiple systems to enable powerful search and discovery tools. A semantic hub (or semantic middleware) is a metadata-enhanced bridge that connects a knowledge graph to user-facing applications, helping … Continue reading
The Roadmap to Open, Accessible, and Machine-Readable Data
In January, the federal government passed a new law to improve data management at federal agencies, H.R. 4174, the “Foundations for Evidence-based Policymaking Act of 2018”. The law includes the Open, Public, Electronic, and Necessary Government Data Act, or the … Continue reading
Knowledge Graphs for Data Governance
The explosion of data and data scientists is making data governance more important, and more difficult. Most large organizations have thousands of data files and a wide range of users working with those files. The size and complexity of these … Continue reading
Graph Search at the Super Bowl
If you are like me, and not a Patriots fan, the best part of the Super Bowl was the commercials. One commercial, in particular, caught my eye. Do you remember the Google Job Search for Veterans commercial (see the youtube … Continue reading
Knowledge Graphs for Search and Discovery
For many projects at Enterprise Knowledge, making information more findable and discoverable is a common ask. Clients often ask questions like: Does my organization have any documents that detail the role of product owners on search projects? Have we previously … Continue reading
How Data Scientists Find Relevant Data with a Data Knowledge Graph
A better way to manage data using semantic graphs for dataset metadata modeling. A recent study from Gartner found that expensive data science resources are often “misaligned” due to the fact that data science teams are spending a majority of … Continue reading
A Knowledge Graph Feast
As Thanksgiving nears, many of us will be scouring recipe books looking for the perfect meal to prepare for family or friends. Visions of golden, brown turkey, creamy mashed potatoes, and savory stuffing (along with a challenge from one of … Continue reading
Semantic Use Cases
This presentation from EK’s Yanko Ivanov outlines several business cases for successfully implementing enterprise knowledge graphs that will provide business value and insight. The presentation explores several different types of knowledge graphs that address varying business cases for knowledge and relationships … Continue reading
What is an Enterprise Knowledge Graph and Why Do I Want One?
Enterprise Knowledge Graphs have been on the rise. We see them as an incredibly valuable tool for relating your structured and unstructured information and discovering facts about your organization. Yet, knowledge graphs have been and still are far too underutilized. … Continue reading