Tagging Map for Multi-Format Document Integration
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Solution Overview
Problem
The preparation of text-based presentation documents from diverse sources is time-consuming due to the need to collect, review, and manually organize content from various formats, such as WORD, PPT, and PDF documents, without an efficient method for tagging and integrating information across different file formats.
Innovation Solution
A method involving the application of a common or custom tagging map to multiple documents, allowing for the tagging of documents across different file formats, with user-defined inputs and graphical interfaces for segmenting and categorizing text, thereby facilitating the generation of organized output documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual collection and organization of content from multiple document sources is performed, then document preparation can be completed, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent applies preliminary action by pre-defining tagging maps and taxonomies before document processing begins. These structured frameworks are prepared in advance to categorize and organize content from multiple sources, eliminating the need for manual classification during the document assembly process and significantly reducing preparation time
Solution Approach 2:
The patent introduces tagging maps and metadata structures as intermediary layers between raw document content and the final presentation document. These intermediaries automatically categorize and structure information from multiple sources, serving as a bridge that transforms unorganized content into a coherent document without manual intervention
2Adaptability or versatility
If content from multiple file formats is integrated, then the range of processable documents increases, but the complexity of organizing and integrating diverse formats increases
Solution Approach 1:
The patent implements universality by designing a single tagging map framework that can process and categorize content from multiple file formats (WORD, PPT, PDF) through a unified interface. This universal tagging system handles diverse formats without requiring separate processing mechanisms for each format, reducing system complexity while maintaining broad adaptability
Solution Approach 2:
The patent applies parameter changes by transforming diverse document formats into a standardized metadata structure through consistent tagging parameters. By converting various formats into a common tagged representation, the system simplifies integration complexity while maintaining the ability to process multiple file types
3Measurement precision
If manual review and selection of useful content is performed, then content accuracy can be ensured, but the process becomes time-consuming
Solution Approach 1:
The patent implements feedback mechanisms where the tagging system provides structured categorization and metadata that guides content selection. This automated feedback loop identifies and flags relevant content based on predefined criteria, maintaining high selection accuracy while eliminating time-consuming manual review processes
Data Source
AI summary
The present disclosure provides, in part, methods, computer program products, systems, for providing a method. In one embodiment a method can include for example applying tags to a first document according to a tagging map; and applying tags to a second document according to the tagging map. In one embodiment a method can include parsing first content of a first document and second content of a second document using a tagging map; and generating an output document using the tagging map, wherein the generating included presenting in first and second different areas defining the output document the first content and the second content. In one embodiment, a method can include providing a custom tagging map based on one or more user defined input; and applying tags to a document using the custom tagging map.