Everything About ___
Live briefing

Everything about Semantic technology

Technology to help machines understand data

The ultimate goal of semantic technology is to help machines understand data. Well-known technologies that enable the encoding of semantics in data include the Resource Description Framework (RDF) and the Web Ontology Language (OWL). These technologies formally represent the meaning involved in information. For example, ontology can describe concepts, relationships between things, and categories of things. Embedding semantics in data offers significant advantages, such as enabling reasoning over data and dealing with heterogeneous data sources. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Semantic technologyA 5-minute orientation
  2. Skim a recent paper: Review the state-of-the-art technologies of semantic segmentation based on deep learningInfluential work since 2022
  3. Pick up a classic book: Advances in Knowledge Discovery and ManagementThe most-reprinted book on the subject
  4. Read the landmark paper: TechNet: Technology semantic network based on patent dataCited 162 times
  5. Go sideways: Semantic WebA closely related topic
  6. Go sideways: Semantic layerA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Overview

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics