Machine learning collaboration techniques
US-2024420212-A1 · Dec 19, 2024 · US
US9104660B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9104660-B2 |
| Application number | US-201213689905-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 30, 2012 |
| Priority date | Feb 8, 2012 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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A method, system, and computer program product for semantic attribution of a request. Source data statements for the request are received. A selection of a domain for the received source data statements is received. The received source data statements are semantically analyzed, which includes matching elements in the received source data statements to respective one or more entries in an ontology associated with the selected domain. The ontology includes items and relationships that define the selected domain. Each element in the received source data statements is a word or a phrase. The one or more entries are assigned to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries. The annotated elements are saved with the respective annotations.
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What is claimed is: 1. A method for semantic attribution of a request, said method implemented by a processor of a computer system, said method comprising: said processor receiving source data statements for the request; said processor receiving a selection of a domain for the received source data statements; said processor semantically analyzing the received source data statements, said semantically analyzing comprising matching elements in the received source data statements…
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