Unified Semantic Graph for Project Asset and Personnel Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Employees transitioning between projects face inefficiencies in accessing project assets and personnel information stored in various formats across different locations, leading to time-consuming searches and ineffective information delivery.
Innovation Solution
Generating semantic graphs for projects and their versions to build relationships among entities, comparing and merging differences, and creating a unified graph that highlights personnel and development processes, allowing efficient communication and document retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If employees manually search databases for project assets and personnel information stored in various formats across different locations, then they can access the information, but the process becomes extremely time-consuming and inefficient
Solution Approach 1:
The patent introduces an intermediary system comprising a semantic graph generator and comparison module that automatically processes and compares project data from multiple sources. This intermediary retrieves information from various databases, generates semantic graphs representing project entities and relationships, compares graphs between projects, and delivers relevant information to employees without manual searching, thereby resolving the contradiction between information accessibility and time consumption
Solution Approach 2:
The patent replaces the mechanical manual searching process with an automated computational system. Instead of employees manually querying databases across different locations, the system automatically performs information retrieval, semantic graph generation, graph comparison, and result delivery, substituting human effort with automated mechanical processes that significantly reduce time loss and improve productivity
2Loss of information
If project information is stored in various formats (database systems, file systems, blogs, wikis, project websites, e-mails) across geographically different locations, then comprehensive information is available, but accessing and determining applicability of such information becomes inefficient and time-consuming
Solution Approach 1:
The patent creates a universal access mechanism that handles multiple information formats and locations through a single integrated system. The semantic graph generator can process data from database systems, file systems, blogs, wikis, project websites, and e-mails, converting diverse formats into a unified semantic representation that can be consistently compared and accessed across all project locations, thereby maintaining information completeness while improving accessibility
Solution Approach 2:
The patent transforms the parameters of information storage and retrieval by converting unstructured and semi-structured data from various formats into standardized semantic graphs with defined entities and relationships. This parameter transformation allows the system to process heterogeneous information sources uniformly, making the information both complete and easily accessible through automated comparison operations
Data Source
AI summary
A method, system and computer program product for intelligently and efficiently connecting with people and assets involved in projects. Semantic graphs for different projects or different versions of the same project are generated based on resources (e.g., templates, documents) within these projects or versions of the same project. Each semantic graph builds a relationship among the entities (e.g., development processes) of the particular project in question. The differences between these semantic graphs is illustrated in a single unified semantic graph. The single unified semantic graph highlights the different entities that were used in these projects as well as highlights the different personnel assigned to the same entities in these projects or versions of the same project. In this manner, a user is able to quickly identify the difference processes and personnel involved in the different projects or different versions of the same project.


