Browse Prior Art Database

Method and System for Dynamically Re-Rendering and Exploring Documents Disclosure Number: IPCOM000202202D
Publication Date: 2010-Dec-08
Document File: 4 page(s) / 50K

Publishing Venue

The Prior Art Database


Disclosed is a method and system for utilizing document tagging to help a consumer identify and filter from a document the information in which they are most interested. This can include third-party data from web-based sources outside the main document. In the system’s interface, the consumer enters filter criteria and receives a graphical representation of the data most relevant to them.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 49% of the total text.

Page 01 of 4

Method and System for Dynamically Re -Rendering and Exploring Documents

A single document may have more than one recipient, each having an interest in a different aspect of the data presented therein (e.g., data on a financial report). The information one person needs, however, is not always readily accessible. As they search for the specifics they need, consumers waste valuable time and reduce productivity. Furthermore, in order to obtain a third-party perspective (i.e., from analyst comments, general commentary in social media, etc.) on the data referenced in the document, a consumer must manually search and navigate a plurality of different web sites or data repositories; this is also unnecessarily time consuming. This disclosure intends to alleviate these current issues.

The disclosed invention is a unique combination of known artifacts and enhanced known artifacts. The invention is a novel method for dynamically re-rendering documents. Upon re-rendering, the method divides the doucument into a hierarchy of sections. Each of these sections can have multiple tags applied to it. A tag itself is in a hierarchy. For example, a section might be in section called Profits > Austin. The Profits section may be tagged with financial:profits. Texas may be tagged with geo:Austin. The geo:Austin would be in a hierarchy of geo:UnitedStates > geo:Texas > geo:Austin. Therefore, when the consumer is viewing the section and wants more information, the system presents them with these tags for search criteria. The consumer could search for type:analyst, financial:profits, and geo:Texas to get comparison information into what is happening around the state of Texas.

Implementing the invention includes the following steps:
1. Author creates a document and adds tags to words at a plurality of granular levels. The tags are associated with the document either through embedding or referencing. The tags are in an ontology and the document is in a hierarchy.

2. Author distributes the document to a shared repository, accessible to end-consumers

3. A consumer retrieves the document from the repository
4. Consumer imports the document into a dynamic rendering interface
5. Consumer creates filter criteria in the interface or alternatively selects predefined filter criteria . This criteria may be based on the current section the consumer is viewing by extracting from it the tags and ontological parents of the tags and presenting this information to the consumer.

6. Consumer invokes a command in the interface to retrieve third-party perspective data, where the third-party data sections are tagged and the tag data matches at least one tag in the tag ontology in the search criteria.

7. Consumer invokes a command in the interface to filter rendered information
8. Based on the given consumer command, the system graphically filters (and delivers to the consumer) the data represented in the document along with any retrieved third-party data

9. Consumer optionally invok...