Knowledge Management System
Knowledge Management System
Appspring developed a bespoke knowledge management system for an academic project at Universidad Distrital. The objective was to organize, categorize, and retrieve multi-sector research data and corporate knowledge with efficient internal search.
Starting situation
This section describes the situation before the engagement, so prospective clients can determine whether it corresponds to their current position.
Research accumulates across sectors without a unified classification structure.
Retrieval depends on manual review of documents.
Academic workflows require structured storage for papers and corporate records.
Search must be fast and semantically useful, not a plain file list.
Work performed
Each item below states what was delivered and the operational reason for that decision.
Custom PHP architecture with purpose-built database
Designed database structures for academic workflows, multi-sector papers, and document relations.
Semantic search and document indexing
Implemented indexing and internal search with data pipelines in Python.
Technologies and stack
Engagement summary
- Period
- 2016 – 2019
- Model
- Dedicated project team
- Channel
- Direct engagement
- Category
- Data Science / Knowledge Platform
Result
The university project obtained a dedicated system for structured research management and retrieval, operated from 2016 to 2019.
Discuss a similar requirement
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