Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In computer science, the Aho–Corasick algorithm is a string-searching algorithm invented by Alfred V. Aho and Margaret J. Corasick in 1975. It is a kind of dictionary-matching algorithm that locates elements of a finite set of strings (the "dictionary") within an input text. It matches all strings simultaneously. The complexity of the algorithm is linear…
History & Science
Explore the main themes, entities and connections around Aho–Corasick algorithm. 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.
dictionary algorithm node string aho corasick strings matches search blue suffix arc input following links time text linear example trie
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Aho–Corasick algorithm | Class | String Searching, String Matching | 1.00 | infobox |
| Aho–Corasick algorithm | Data structure | Finite-state machine of strings | 1.00 | infobox |
| Aho–Corasick algorithm | is a | string-searching algorithm invented by Alfred V | 0.90 | text |
| Aho–Corasick algorithm | related to Dynamic search list | The | 0.60 | section |
| Aho–Corasick algorithm | related to Dynamic search list | Aho | 0.60 | section |
| Aho–Corasick algorithm | related to Dynamic search list | Corasick | 0.60 | section |
| Aho–Corasick algorithm | related to Dynamic search list | It | 0.60 | section |
| Aho–Corasick algorithm | related to Dynamic search list | An | 0.60 | section |
| Aho–Corasick algorithm | related to Dynamic search list | Bertrand Meyer | 0.60 | section |
| Aho–Corasick algorithm | related to history | Like | 0.60 | section |
| Aho–Corasick algorithm | related to history | Bell Labs | 0.60 | section |
| Aho–Corasick algorithm | related to history | Aho | 0.60 | section |
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.