Glossary

Structured data

What is Structured data?

Structured data follows a fixed schema with clearly named fields, such as tables, databases or JSON objects containing details like name, price and date. Machines can read, filter and process it reliably – unlike free text or images. On websites, schema.org markup describes products, events or FAQs, for example, so that search engines and AI systems understand the content unambiguously. AI can also extract structured data from unstructured text.

How KI.ordo helps

In KI.ordo flows, the “Field from JSON” building block picks out individual values from structured responses, for example from a web request.

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Topics

data
JSON
schema.org

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Related terms

Unstructured Data

Unstructured data follow no fixed table schema: emails, contracts, manuals, web pages, presentations, images or audio recordings. They make up a large share of organisational knowledge but were long difficult to analyse automatically. Language models can read and search such content and turn it into structured information, for example extracting deadlines and amounts from a contract into a table.

Data
Documents
+1

Ontology

In computer science, an ontology is a formal model of a subject area that clearly defines concepts, their properties and the relationships between them. This allows people and machines to interpret data consistently and draw conclusions from it. Ontologies underpin many knowledge graphs, semantic search systems and data integration projects. Example: a product ontology states that an “e-bike” is a “bicycle” and has a “battery”.

knowledge modelling
semantics
+1

Generative engine optimisation (GEO)

Generative engine optimisation (GEO) covers measures that help content become visible in, and be cited as a source by, AI-powered search systems such as ChatGPT, Perplexity or the AI overviews in search engines. The term comes from a 2023 research paper. Key factors include clear, directly quotable answers, a clean structure, evidenced facts, up-to-date information and identifiable authors. GEO complements classic search engine optimisation (SEO) rather than replacing it.

AI search
SEO
+1

Template

Intelligent Document Processing (IDP)

Intelligent document processing (IDP) automatically reads documents such as invoices, contracts or forms, identifies their type and turns the relevant details into structured data. It combines text recognition for scans, natural language processing and validation rules. Organisations save manual data entry and speed up processes such as handling incoming invoices or post. Uncertain fields should be checked by people.

Documents
Data extraction
+1

Template