Generation of digital documents
AssigneeMicro Focus LLC
InventorKrishnan Ramanathan
Life of this patent
Estimating the term…
Abstract
The present subject matter relates to generating a digital document. In one example, the present subject matter includes generating one or more seed topics based on topic-based textual data. The present subject matter further includes determining a list of candidate topics based on the one or more seed topics, where each candidate topic is associated with content corresponding to the candidate topic. Further, the present subject matter includes selecting a candidate topic from amongst the candidate topics, where the candidate topic is selected based on a pre-defined selection rule, and generating the digital document based on content associated with the candidate topic selected from amongst the candidate topics.
Claims13
An electronic publication generation system comprising:
- a processor;
- a memory storing instructions that when executed by topic list generation module coupled to the processor cause the processor to:
- wherein the topic list generation module is to:
- receive topic-based textual data from a user for generation of a digital document;
- determine a list of seed topics based on the topic-based textual data;
- generate a list of candidate topics based on the seed topics and structured digital content, wherein each candidate topic is associated with content corresponding to the candidate topic;
- create a content graph corresponding to the structured digital content, wherein the content graph comprises similar topic links and category links, such that a similar topic link establishes a link between the content topic and content topics similar to the content topic, and a category link establishes a link between the content topic and categories to which the content topic belongs;
- and
- generate the digital document based on content associated with at least one candidate topic selected from amongst the candidate topics and based on the content graph.
The electronic publication generation system as claimed in claim wherein the instructions are executable to cause the processor to generate additional candidate topics based on the structured digital content for generation of the digital document, wherein each additional candidate topic is associated with content corresponding to the additional candidate topic.
A method comprising:
- generating, by a processor, one or more seed topics based on topic-based textual data;
- determining, by the processor, candidate topics based on the one or more seed topics, wherein each candidate topic is associated with content corresponding to the candidate topic;
- selecting, by the processor, a candidate topic from amongst the candidate topics, wherein the candidate topic is selected based on a pre-defined selection rule;
- generating, by the processor, a content graph corresponding to structured digital content, wherein the content graph comprises similar topic links and category links, such that a similar topic link establishes a link between a content topic and other content topics similar to the content topic, and a category link establishes a link between the content topic and categories to which the content topic belongs;
- and
- generating, by the processor, the digital document based on the content associated with the candidate topic selected from amongst the candidate topics and based on the content graph.
A non-transitory machine-readable storage medium encoded with instructions executable by a processing resource to:
- index structured digital content to generate one or more topic indices, wherein a topic index comprises a content topic and data corresponding to the content topic;
- determine seed topics based on topic-based textual data received from a user;
- generate candidate topics based on the seed topics, wherein each of the candidate topics corresponds to the content topic associated with the one or more topic indices, and wherein each candidate topic is associated with content corresponding to the candidate topic;
- identify at least one selection rule based on the topic-based textual data;
- based on the seed topics, select at least one candidate topic from amongst the candidate topics, wherein the selection is based on the at least one selection rule;
- generate a content graph corresponding to the structured digital content, wherein the content graph comprises similar topic links and category links, such that a similar topic link establishes a link between the content topic and content topics similar to the content topic, and a category link establishes a link between the content topic and categories to which the content topic belongs;
- and
- generate a digital document based on the content associated with the at least one candidate topic selected from amongst the candidate topics and based on the content graph.
Dependencies are inferred from the claim text.