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Concept search

A concept search (or conceptual search) is an automated information retrieval method that is used to search electronically stored unstructured text (for example, digital archives, email, scientific literature, etc.) for information that is conceptually similar to the information provided in a search query. In other words, the ideas expressed in the…

Applications & Science

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Research this topic

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

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

Overview

Development

Approaches

Uses

Effective searching

Relevance feedback

Guidelines for evaluating a concept search engine

Conferences and forums

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

Concept search

Nodes60
Edges59
Triples86
Avg. degree1.97
Density0.033333
Components1

How this topic connects Entity context

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

Concept search

Top relations

related to Uses · 35
Concept search → As, Boolean, CBIR, Concept, Concept-based, Content-based, Digital, EBSCO Publishing, ECM, EDB, EDD, Electronic Document Discovery, Enterprise Content Management, Enterprise Search, Executive Daily Brief, For, Gartner Group, Genomic Information Retrieval, GIR, Human
related to Auxiliary structures · 11
Concept search → AI, Boolean, Controlled, Handcrafted, It, Later, NLP, Over, The, They, WordNet
related to Development · 9
Concept search → Boolean, Concept, English, For, In English, Keyword, Polysemy, Synonymy, The
related to Guidelines for evaluating a concept search engine · 9
Concept search → Combined, Even, Federated, OCR, Query, Query-ready, Relevant, Result, The
related to Effective searching · 8
Concept search → Effective, For, However, Including, Mississippi River, Queries, Substantial, The
related to Relevance feedback · 6
Concept search → In, It, Relevance, Results, The, Users

Important terminology Word statistics

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

Important terminology

information search concept text query retrieval used queries relevant results concepts semantic words result techniques systems items example effective terms

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
controlled vocabulariesinstance ofand most of them have relied on the use of auxiliary structures0.80text
ontologiesinstance ofand most of them have relied on the use of auxiliary structures0.80text
skyinstance ofthe user could make direct queries for multiple visual objects0.80text
treesinstance ofthe user could make direct queries for multiple visual objects0.80text
waterinstance ofthe user could make direct queries for multiple visual objects0.80text
etc. using spatially positioned icons in a WWW index containing more than ten million imagesinstance ofthe user could make direct queries for multiple visual objects0.80text
videos using keyframesinstance ofthe user could make direct queries for multiple visual objects0.80text
WordNet has been studied to expand queries with conceptually-related wordsinstance ofThe use of ontologies0.80text
Concept searchrelated to Auxiliary structuresAI0.60section
Concept searchrelated to Auxiliary structuresNLP0.60section
Concept searchrelated to Auxiliary structuresControlled0.60section
Concept searchrelated to Auxiliary structuresBoolean0.60section

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

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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