Content related to Exploring Vector Search: Advantages and Disadvantages
How Leveraging Existing Taxonomies Can Jumpstart Ontology Design
Taxonomies and ontologies are both types of Knowledge Organization Systems, or KOS. Different types of KOS can be seen as a continuum, starting with a simple folksonomy where users of content can add free form tags with no control or … Continue reading
Fixing Enterprise Search Without Changing Code
Too many of the business clients I work with feel that they are powerless when it comes to fixing their enterprise search problems. While these individuals are able to say what content is relevant, they feel dependent on IT to … Continue reading
Creating a Connected Search Experience
This presentation, by Joe Hilger of Enterprise Knowledge, was originally presented at the annual Federal/DoD KM Symposium on May 14, 2019. In it, Joe offers enterprise search best practices and discusses enterprise knowledge graphs and ontologies.
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
Enterprise Search: The Key to Findability
Presented at KM Showcase 2019 by Todd Fahlberg (Enterprise Knowledge) and Hasan Syed (Federal Home Loan Bank of Chicago), the presentation offers a case study from FHLBC on how Syed led his organization in the design and implementation of an … 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
The Cost of Doing Nothing: The Business Case for Knowledge and Information Management
For many organizations, investment decisions on Knowledge, Data, and Information Management initiatives are driven by high-level business objectives such as increased efficiency, productivity, competitive advantage, and enhanced employee or customer engagement. While aligning Knowledge and Information Management initiatives with business … Continue reading
Optimizing Your Search Experience: A Human-Centered Approach to Search Design
Designing a search solution requires an understanding of how people think, what they want, and how they go about getting what they want. You can implement the most technically sophisticated search tool for your organization, but if you’re not configuring … 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
Beyond Find: The Five Levels of Artificial Intelligence for Knowledge
At Enterprise Knowledge, our work in the field of Knowledge and Information Management has given us the opportunity to explore a wide range of organizational goals and business drivers with our clients. Over the years, these goals have progressed from simply … Continue reading