Invention Grant
- Patent Title: Self-learning semantic search engine
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Application No.: US14536040Application Date: 2014-11-07
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Publication No.: US09223777B2Publication Date: 2015-12-29
- Inventor: Robert Heidasch , Stefan Scheidl , Klaus Reichenberger , Steffen Moldaner , Archim Heimann , Stephan Brand , Nico Licht , Michael Neumann , Christoph Meinel
- Applicant: SAP SE , intelligent views gmbh
- Applicant Address: DE Walldorf DE Darmstadt
- Assignee: SAP SE,intelligent views gmbh
- Current Assignee: SAP SE,intelligent views gmbh
- Current Assignee Address: DE Walldorf DE Darmstadt
- Agency: Kenyon & Kenyon LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F17/27 ; G06N99/00

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.
Public/Granted literature
- US20150058315A1 SELF-LEARNING SEMANTIC SEARCH ENGINE Public/Granted day:2015-02-26
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