Patent · US Active

Self-learning semantic search engine

US9223777B2 · kind B2 · utility

1Cited by

22References

20Claims

0Family size

Assignees

SAP SE · DE
intelligent views gmbh · DE

Inventors

Robert Heidasch · Speyer, DE
Stefan Scheidl · Dieburg, DE
Klaus Reichenberger · Frankfurt, DE
Steffen Moldaner · Riedstadt, DE
Archim Heimann · Wiesloch, DE
Stephan Brand · Wiesloch, DE
Nico Licht · Heidelberg, DE
Michael Neumann · Speyer, DE
Christoph Meinel · Heidelberg, DE

Key dates

Filing date	Nov 7, 2014
Grant date	Dec 29, 2015
Priority date	—
Expiry date	Nov 7, 2034

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.