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Find related topics. | Discover entities. | See connections. | Build a topical map.
In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics or relationship…
History & Products
Explore the main themes, entities and connections around Knowledge graph. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
knowledge graph graphs data entities relationships semantic entity used reasoning alignment concepts also learning use networks systems term development web
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Knowledge graph | is a | knowledge base that uses a graph-structured data model or topology to represent and operate on data | 0.90 | text |
| instance of | They are also historically associated with and used by search engines | 0.80 | text | |
| Bing | instance of | They are also historically associated with and used by search engines | 0.80 | text |
| and Yahoo | instance of | They are also historically associated with and used by search engines | 0.80 | text |
| genomics | instance of | with notable applications in fields | 0.80 | text |
| proteomics | instance of | with notable applications in fields | 0.80 | text |
| and systems biology | instance of | with notable applications in fields | 0.80 | text |
| YAGO | instance of | the term has been used to describe open knowledge projects | 0.80 | text |
| Wikidata | instance of | the term has been used to describe open knowledge projects | 0.80 | text |
| data reasoning | instance of | and facilitate operations | 0.80 | text |
| node embedding | instance of | and facilitate operations | 0.80 | text |
| and ontology development on knowledge bases.In contrast | instance of | and facilitate operations | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.