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Semantic integration

Semantic integration is the process of interrelating information from diverse sources, for example calendars and to do lists, email archives, presence information (physical, psychological, and social), documents of all sorts, contacts (including social graphs), search results, and advertising and marketing relevance derived from them. In this regard…

Applications, Applications and methods & KG vs. RDB approaches

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

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Applications and methods

7 related topics

KG vs. RDB approaches

3 related topics

Semantic integration situations

1 related topics

Examples

1 related topics

Topics to explore

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Overview

Applications and methods

Semantic integration situations

KG vs. RDB approaches

Examples

Advanced semantic analysis

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Map overview Semantic statistics

Semantic integration

Nodes21
Edges20
Triples29
Avg. degree1.9
Density0.095238
Components1

How this topic connects Entity context

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Semantic integration

Top relations

has method · 9
Semantic integration → EAI, Eventually, For, In, Metadata, One, Other, OWL, These
related to External links · 7
Semantic integration → Art, Carl HewittOpenCyc, DataOntology Mapping, Loosely Coupling, Meaning, Oracle Interface, The State
related to Semantic integration situations · 3
Semantic integration → Each, From, These
is a · 1
Semantic integration → process of interrelating information from diverse sources

Important terminology Word statistics

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Important terminology

data semantic integration example information query ontology mapping sources also semantics sparql relationships database heterogeneous kg new citation needed graph

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Semantic integrationis aprocess of interrelating information from diverse sources0.90text
reasoning over datainstance ofThese embedded semantics with the data offer significant advantages0.80text
dealing with heterogeneous data sourcesinstance ofThese embedded semantics with the data offer significant advantages0.80text
Wikidata.org.SQL query is tightly coupledinstance ofThis facilitation is emphasized for the integration with existing popular linked open data source0.80text
rigidly constrained by datatype within the specific databaseinstance ofThis facilitation is emphasized for the integration with existing popular linked open data source0.80text
can join tablesinstance ofThis facilitation is emphasized for the integration with existing popular linked open data source0.80text
extract data from tablesinstance ofThis facilitation is emphasized for the integration with existing popular linked open data source0.80text
and the result is generally a tableinstance ofThis facilitation is emphasized for the integration with existing popular linked open data source0.80text
and a query can join tables by any columns which match by datatypeinstance ofThis facilitation is emphasized for the integration with existing popular linked open data source0.80text
changing the structure and/or addition of new datainstance ofwhich requires the redesign of the database table0.80text
Semantic integrationhas methodIn0.60section
Semantic integrationhas methodEAI0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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