Content related to Best Practices for Enterprise Knowledge Graph Design
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
Best Practices for Successful Metadata Governance
Metadata governance is often seen as burdensome, tough to implement, and even harder to prioritize. When organizations embark on a metadata initiative, they tend to focus on design and development rather than governance. Metadata and taxonomies are living tools that … Continue reading
Applying The Five Laws of Library Science to your Next Taxonomy or Digital Product
The rate at which we are producing new information is unprecedented. Each year our ability to capture and create information becomes easier. As a result, the need to find information becomes more and more important. Designing the structure of information … Continue reading
Give the People What They Want – An Approach to Thoughtful KM Technology
Presented by Todd Fahlberg, Knowledge Management Consultant, on May 19, 2020. Implementing a meaningful Knowledge Management technology brings many levels of challenges, even in the most innovative, user-centric organizations. In this session, Todd Fahlberg shares proven practices on how to … 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
Keys to Successful Ontology Design
Ontologies can capture highly complex ideas and business logic, provide more intuitive ways to structure information, and can ultimately power new use cases, such as semantic search, recommendation engines, and AI. While many organizations aim to leverage an ontology, they … Continue reading