Content related to The Phantom Data Problem: Finding and Managing Secure Content
Metadata Use Case: IMDB in Amazon Prime Video
Have you been catching up on your favorite TV shows lately? If so, while watching a series or movie from home, it is very likely you might have asked yourself the following questions: “The narrator’s voice sounds familiar, who is … Continue reading
Structuring Unstructured Content: The Power of Knowledge Graphs and Content Deconstruction
Unstructured content is ubiquitous in today’s business environment. In fact, the IDC estimates that 80% of the world’s data will be unstructured by 2025, with many organizations already at that volume. Every organization possesses libraries, shared drives, and content management … Continue reading
Natural Language Search on Big Data
The Solution By extracting key entities or metadata fields, such as topic, place, person, customer, plant, etc. from their sample files and data sets, Enterprise Knowledge (EK) developed an ontology to describe the key questions business users were interested in … Continue reading
Project and Expert Finder
The Challenge A federally funded engineering research center has an extensive “project library” where technical documents, certifications, and reports related to various engineering projects are stored. Many of these documents are often scanned versions of handwritten notes or files and, … Continue reading
Semantic Data Portal/Data Catalog
A Course Recommendation System – Based on a Knowledge Graph
The Challenge A healthcare workforce solutions provider wanted to increase engagement and learning outcomes across their learning platform as part of an initiative to grow interactive and adaptive learning capabilities using cutting edge knowledge management and natural language processing techniques. … Continue reading
What is a Semantic Architecture and How do I Build One?
Can you access the bulk of your organization’s data through simple search or navigation using common business terms? If so, your organization may be one of the few that is reaping the benefits of a semantic data layer. A semantic … Continue reading
Designing Content for the Apprehensive Consumer
Content consumers, regardless of their form, be they a shopper, a reader, a creative, (the list goes on), are increasingly trepidatious about the content they choose to trust. With an ever-increasing slew of web content from a range of sources … Continue reading
What I’m Looking Forward to Learning at SEMANTiCS Austin 2020
SEMANTiCS Austin 2020 is the inaugural SEMANTiCS U.S. conference that will bring together knowledge graphs, ontologies, and Enterprise AI. These topics, among others, are of particular interest to my work in search and semantics, and I am excited to see … Continue reading
What’s the Difference Between an Ontology and a Knowledge Graph?
As semantic applications become increasingly hot topics in the industry, clients often come to EK asking about ontologies and knowledge graphs. Specifically, they want to know the differences between the two. Are ontologies and knowledge graphs the same thing? If … Continue reading