Academic Search Analytics System for Heterogeneous Data Ingestion

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Solution Overview

Problem

The increasing volume of academic, scientific, and engineering data poses a challenge for users in efficiently collecting and analyzing vast amounts of literature, necessitating an automated system for academic search and analytics insights.

Innovation Solution

A system comprising a memory device with computer-readable instructions for data ingestion, processing, and analytics, featuring modules for data enrichment, format conversion, cross-referencing, natural language processing, machine learning modeling, and community detection, which fetches and processes data from heterogeneous sources to generate insights and present them in a dashboard.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual collection and analysis of academic data is performed, then data accuracy can be maintained, but the time and effort required increases significantly

Engineering Contradiction:

Improvedata accuracyVSAvoidtime and effort

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs automatic data collection, enrichment, and analysis without requiring manual intervention. The automated ingestion component fetches data from multiple sources, the enrichment component adds missing attributes automatically, and the analytics component generates insights autonomously, eliminating the need for manual data processing while maintaining accuracy through systematic automated procedures

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical data collection and analysis processes with automated computational systems. The automated ingestion component substitutes manual data gathering, the enrichment component replaces manual attribute addition, and the analytics component substitutes manual analysis, thereby dramatically reducing time and effort while preserving data accuracy through consistent automated processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If data from multiple heterogeneous sources is collected, then comprehensiveness of analytics insights is improved, but data processing complexity increases

Engineering Contradiction:

ImprovecomprehensivenessVSAvoiddata processing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system employs a universal data ingestion component that can handle multiple heterogeneous data sources (academic publishers, universities, journals, conferences, patents, grants) through a single unified interface. The enrichment component serves multiple functions by adding various types of attributes (geographical, temporal, institutional) to diverse data types, and the analytics component generates comprehensive insights across multiple dimensions (geographical distribution, trends, communities) from unified processed data

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The enrichment component acts as an intermediary between raw heterogeneous data and the analytics component. It standardizes data from various sources by adding missing attributes and converting formats, creating a unified intermediate representation that simplifies subsequent analytics processing while maintaining comprehensiveness across all data sources

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated data processing is implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:

Improvesearch and analysis speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system is divided into distinct functional components: the ingestion component for data collection, the enrichment component for data enhancement, and the analytics component for insight generation. Each component performs a specific function independently, improving productivity through specialized automated processing while managing complexity through clear functional separation and modular architecture

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11630870B2Academic search and analytics system and method therefor

Publication Date: 2023.04.18 ABDUNABI TAREK A M

AI summary

An apparatus and method for academic search and analytics insights have been provided. The apparatus includes an ingestion component, obtaining data from external heterogeneous sources, to produce ingested data; a processing component for processing the ingested data; a search and analytics component for executing search queries on the ingested data and generating analytics insights on returned search result; and a storage component for storing the ingested data, the storage component acting as a communication data bus for the ingestion component, the processing component and the search and analytics component. Corresponding server and network system are have been provided.