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SWISH-E

SWISH-E stands for Simple Web Indexing System for Humans - Enhanced. It is used to index collections of documents ranging up to one million documents in size and includes import filters for many document types.

Overview, Related Topics & Entities

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Explore the main themes, entities and connections around SWISH-E. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

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Overview

1 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
originated by Kevin Hughes
License
GNU General Public License
Operating system
Windows, most Unix
Stable release
2.4.7 / April 5, 2009 (2009-04-05)
Type
search engine, open-source

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

SWISH-E

Nodes3
Edges2
Triples9
Avg. degree1.33
Density0.666667
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

SWISH-E

Top relations

see also · 3
SWISH-E → Free, Najdi, North Macedonia
Developer · 1
SWISH-E → originated by Kevin Hughes
License · 1
SWISH-E → GNU General Public License
Operating system · 1
SWISH-E → Windows, most Unix
Stable release · 1
SWISH-E → 2.4.7 / April 5, 2009 (2009-04-05)
Type · 1
SWISH-E → search engine, open-source
Website · 1
SWISH-E → http://swish-e.org/ (Offline)

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

hughes kevin web indexing enhanced berkeley library maintained system offline website developed open-source stands simple humans used index collections documents

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
SWISH-EDeveloperoriginated by Kevin Hughes1.00infobox
SWISH-ELicenseGNU General Public License1.00infobox
SWISH-EOperating systemWindows, most Unix1.00infobox
SWISH-EStable release2.4.7 / April 5, 2009 (2009-04-05)1.00infobox
SWISH-ETypesearch engine, open-source1.00infobox
SWISH-EWebsitehttp://swish-e.org/ (Offline)1.00infobox
SWISH-Esee alsoFree0.60section
SWISH-Esee alsoNajdi0.60section
SWISH-Esee alsoNorth Macedonia0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

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    Min side: 3
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