DISCOVERY OF IMPLICIT RELATIONAL KNOWLEDGE BY MINING RELATIONAL PATHS IN STRUCTURED DATA

DISCOVERY OF IMPLICIT RELATIONAL KNOWLEDGE BY MINING RELATIONAL PATHS IN STRUCTURED DATA

Predefined relation items on paths traversing predefined entities of a knowledge base are collected and feature sets are assembled from the collected relation items. A classifier is computed for the feature sets and a relation score of a query pair of the entities is computed using the classifier.

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Bibliographische Detailangaben
Hauptverfasser: Bornea Mihaela A, Barker Kenneth J
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Predefined relation items on paths traversing predefined entities of a knowledge base are collected and feature sets are assembled from the collected relation items. A classifier is computed for the feature sets and a relation score of a query pair of the entities is computed using the classifier.