Semantic enrichment is the process of adding a layer of topical metadata to content so that machines can make sense of it and, even more importantly, build connections to it.

In the digital world, semantic technologies and procedures automate the classification of digital content and enable the assignment of content to specific topic areas. Semantic methods find a practical application where the optimal management of a constantly growing amount of online content contributes to the strategic goals of an organization.

It has never been more important to prepare our content for semantic search and AI. Using experts and accurate, structured text for the storage and display of scholarly content will make it easier to extract, clean, and structure the data in order to maximize AI, ML, and ontological structures.

Content in scientific articles and books is written so that humans can understand it, but computers have a hard time interpreting the nuances of human language.

Scholarly publishers—especially those in the scientific, technical and medical fields—are increasingly enriching their content with an array of metadata. Semantic enrichment is an additional class of metadata that further improves the utility, discovery and interoperability of content.

Given the explosion of available information—especially in the sciences—people have become reliant on computers to find the information that they need. Semantically enriched XML is also referred to as smart content because it holds within itself everything that an application needs to interpret it—both structurally and topically.

Smart content has the potential to have a transformative impact on website experiences in the same way that targeted ads revolutionized the online ad industry.

It takes into account behavioral data, contextual data, demographic data and firmographic data in order to serve up content that is tailored to each visitor’s unique preferences.

Semantic solution experts can make sense of your knowledge base by discovering concepts, applying best practices based on standards to model your content, and building taxonomies and ontologies for a better search experience.

Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine-aided indexing, database management, information retrieval and explainable artificial intelligence.

Data Harmony is so much more than just an editor; it’s a suite of tools to help you with your semantic search journey. The Data Harmony suite analyzes, manages and enriches content – so much more than a single-purpose tool.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.