Importing data to a semantic graph

Patent metadata

Field	Value
Publication number	US-2016267198-A1
Application number	US-201514644805-A
Country	US
Kind code	A1
Filing date	Mar 11, 2015
Priority date	Mar 11, 2015
Publication date	Sep 15, 2016
Grant date	—

Abstract

The present disclosure describes methods, systems, and computer program products for importing data to a semantic graph. One computer-implemented method includes collecting, at a client, data from an information source; receiving, from a server, a query for information associated with the semantic graph; and sending, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.

First claim

What is claimed is:

1 . A method for importing data to a semantic graph, comprising:
collecting, at a client, data from an information source; receiving, from a server, a query for information associated with the semantic graph; and sending, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.

2 . The method of claim 1 , wherein the collected data is used to update the semantic graph.

3 . The method of claim 2 , wherein updating the semantic graph comprises processing the collected data using a term frequency inverse document frequency (TFIDF) calculation.

4 . The method of claim 1 , wherein the query is received periodically.

5 . The method of claim 1 , wherein the data is collected in response to at least one of a trigger event or a changed date of the information source.

6 . The method of claim 1 , wherein the communication protocol is used to transmit data associated with structured sources and unstructured resources.

7 . The method of claim 1 , wherein the information source is an unstructured source, and wherein collecting the data comprises:
analyzing data in the unstructured source using a text analysis tool; receiving at least one filtering term; and filtering the analyzed data based on the at least one filtering term.

8 . The method of claim 1 , wherein the information source is a structured source, and wherein collecting the updated data comprises:
receiving a configuration of the structured source, wherein the configuration includes a location of the data in the structured source; and collecting the data using the configuration of the structured source.

9 . A system for importing data to a semantic graph, comprising:
a memory; and at least one hardware processor interoperably coupled with the memory and configured to:
collect, at a client, data from an information source;
receive, from a server, a query for information associated with the semantic graph; and
send, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.

10 . The system of claim 9 , wherein the collected data is used to update the semantic graph.

11 . The system of claim 10 , wherein updating the semantic graph comprises processing the collected data using a term frequency inverse document frequency (TFIDF) calculation.

12 . The system of claim 9 , wherein the query is received periodically.

13 . The system of claim 9 , wherein the data is collected in response to at least one of a trigger event or a changed date of the information source.

14 . The system of claim 9 , wherein the communication protocol is used to transmit data associated with structured sources and unstructured resources.

15 . The system of claim 9 , wherein the information source is an unstructured source, and wherein collecting the data comprises:
analyzing data in the unstructured source using a text analysis tool; receiving at least one filtering term; and filtering the analyzed data based on the at least one filtering term.

16 . The system of claim 9 , wherein the information source is a structured source, and wherein collecting the updated data comprises:
receiving a configuration of the structured source, wherein the configuration includes a location of the data in the structured source; and collecting the data using the configuration of the structured source.

17 . A non-transitory, computer-readable medium storing computer-readable instructions for simplifying user interactions in a computer-aided transaction process, the instructions executable by a computer and configured to:
collecting, at a client, data from an information source; receiving, from a server, a query for information associated with the semantic graph; and sending, in response to the query, the collected data to the server in accordance to a communication protocol, wherein the collected data is imported to the semantic graph.

18 . The non-transitory, computer-readable medium of claim 17 , wherein the collected data is used to update the semantic graph.

19 . The non-transitory, computer-readable medium of claim 17 , wherein the information source is an unstructured source, and wherein collecting the data comprises:
analyzing data in the unstructured source using a text analysis tool; receiving at least one filtering term; and filtering the analyzed data based on the at least one filtering term.

20 . The non-transitory, computer-readable medium of claim 17 , wherein the information source is a structured source, and wherein collecting the updated data comprises:
receiving a configuration of the structured source, wherein the configuration includes a location of the data in the structured source; and collecting the data using the configuration of the structured source.

Assignees

• Sap Se

Inventors

• Lahmer Christian
• Scheidl Stefan
• Neumann Michael

Classifications

• G06F16/9024 Primary

  Graphs; Linked lists (G06F16/9027 takes precedence) · CPC title

• G06F17/30864

  Physics · mapped topic

• G06F17/30377

  Physics · mapped topic

• G06F17/30699

  Physics · mapped topic

• G06F17/30958 Primary

  Physics · mapped topic