Content related to A Data Scientist Perspective on Knowledge Graphs (Part 1): the Data-Driven Challenge
RDF*: What is it and Why do I Need it?
RDF* (pronounced RDF star) is an extension to the Resource Description Framework (RDF) that enables RDF graphs to more intuitively represent complex interactions and attributes through the implementation of embedded triples. This allows graphs to capture relationships between more than … Continue reading
A Global Knowledge and Information Management Solution
The EK Difference Because this large, global organization was seeking to successfully complete an initiative that traversed multiple departments, the effort required alignment and support from department leads, staff, and executives. EK leveraged our proven facilitation and prioritization approaches tailored … Continue reading
Presentation: Introduction to Knowledge Graphs
This workshop presentation from Joe Hilger, Founder and COO, and Sara Nash, Technical Analyst, was delivered on June 8, 2020 as part of the Data Summit 2020 virtual conference. The 3-hour workshop provided an interdisciplinary group of participants with a … Continue reading
Natural Language Processing and Taxonomy Design
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that processes and analyzes human language found in text. Some of the exciting capabilities that NLP offers includes parsing out the significant entities in content through a statistical analysis … Continue reading
Leveraging Ontologies and Biomedical Standards for Data Governance, Process Optimization, and Product Findability
The Challenge A global veterinary company that provides a comprehensive suite of products, software, and services for veterinary professionals needed an effective taxonomy and ontology design to provide easy and consistent ways to find and use data in order to … Continue reading
Building a Semantic Enterprise Architecture
The EK Difference Using a hybrid analysis approach, consisting of a combination of user-driven research (facilitated workshops, focus groups, and interviews) and technology-driven research (in-depth analysis of the existing technology), EK captured the current Enterprise Architecture using our Semantic Enterprise … Continue reading
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