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公开(公告)号:US20180137094A1
公开(公告)日:2018-05-17
申请号:US15350730
申请日:2016-11-14
Applicant: SAP SE
Inventor: Xiwei Zhou , Karthik Uppuluri , Till Pieper
CPC classification number: G06F17/2705 , G06F16/243 , G06F17/2765 , G06F17/2827
Abstract: A system, a method, and a computer program product for contextual natural language processing in software applications are disclosed. At least one input instruction for a software application is converted, using a natural language processing, to a predetermined format associated with the software application. The converted input instruction is filtered based on at least one parameter associated with the software application. The filtered input instruction is compared to a plurality of transactions associated with the software application. Based on the comparison, at least one transaction in the plurality of transactions capable of being executed by the software application is selected in response to the filtered input instruction. The software application executes the selected transaction based on the filtered input instruction.
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公开(公告)号:US20150142891A1
公开(公告)日:2015-05-21
申请号:US14546480
申请日:2014-11-18
Applicant: SAP SE
Inventor: Shafkat ul Haque , Ray Kuo , Miao Wang , Raphael Dokyun Kim , Abhiram Bojadla , Bindu Madhavan , Sujit Saraf , Sanjay Rajagopalan , Till Pieper
IPC: H04L29/08
CPC classification number: H04N21/4828 , G06F16/438 , G06F16/48 , H04L63/0861 , H04L67/14 , H04L67/24 , H04W4/021 , H04W12/06
Abstract: A collaborative environment adapts to and anticipates users' needs based on presence of participants, proximity, context, in order to facilitate interaction among participants. An aspect of the collaborative environment includes multifactor user recognition.
Abstract translation: 合作环境根据参与者的身份,邻近情况,上下文情况,适应和预测用户的需求,以促进参与者之间的互动。 合作环境的一个方面包括多因素用户识别。
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公开(公告)号:US10474748B2
公开(公告)日:2019-11-12
申请号:US15350730
申请日:2016-11-14
Applicant: SAP SE
Inventor: Xiwei Zhou , Karthik Uppuluri , Till Pieper
IPC: G06F9/48 , G06F17/27 , G06F17/28 , G06F16/242
Abstract: A system, a method, and a computer program product for contextual natural language processing in software applications are disclosed. At least one input instruction for a software application is converted, using a natural language processing, to a predetermined format associated with the software application. The converted input instruction is filtered based on at least one parameter associated with the software application. The filtered input instruction is compared to a plurality of transactions associated with the software application. Based on the comparison, at least one transaction in the plurality of transactions capable of being executed by the software application is selected in response to the filtered input instruction. The software application executes the selected transaction based on the filtered input instruction.
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