sandro.labruzzo
/
openaire-graph-docs
forked from D-Net/openaire-graph-docs
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge pull request 'Enriching the full-text collection process' (#53) from pdf_aggregation into main 

Reviewed-on: D-Net/openaire-graph-docs#53
This commit is contained in:
Thanasis Vergoulis 2023-07-04 20:17:38 +02:00
parent 9fbc4cc6e0 1c668b7fd8
commit bc0c487f5f
2 changed files with 19 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
docs/graph-production-workflow/enrichment-by-mining/enrichment-by-mining.md Normal file
View File

@ -0,0 +1,18 @@
import DocCardList from '@theme/DocCardList';
# Enrichment by mining
**OpenAIRE** collects the full-texts of the publications, in order to apply TDM (Text and Data Mining) algorithms on them and enrich the Graph with inference links.
The collection of the full-texts is handled by the internal **PDF Aggregation Service**. This service uses the publications' urls, from the OpenAIRE Graph and state-of-the-art algorithms, to crawl the web and try to locate and download the full-texts of the open access publications, while focusing on the most recent ones. It respects the servers of the repositories and publishers and avoids overloading them.
The service is orchestrating a distributed execution system, on the cloud, with multiple microservices running in parallel, in order to efficiently process and download a large number of publications. The microservices store the generated report records for the publications, in a database, and the full-texts in an S3 Object Store.
On the publication-page level, it applies text-mining algorithms to analyze the structure of the page, extract the full-text url and download the file. Additionally, it tracks various performance indicators to optimize the crawling speed, during execution.
The PDF Aggregation Service is also capable of bulk-importing full-texts from compatible data sources, which increases the collection speed of full-texts.
The different Text and Data Mining (TDM) algorithms used in the graph-enrichment process are grouped in the following categories.
<DocCardList></DocCardList>

5
sidebars.js
View File

@ -108,10 +108,7 @@ const sidebars = {
{
type: 'category',
label: "Enrichment by mining",
link: {
type: 'generated-index',
description: 'The OpenAIRE Graph is enriched using the different Text and Data Mining (TDM) algorithms that are grouped in the following categories.'
},
link: {type: 'doc', id: 'graph-production-workflow/enrichment-by-mining/enrichment-by-mining'},
items: [
{ type: 'doc', id: 'graph-production-workflow/enrichment-by-mining/affiliation_matching' },
{ type: 'doc', id: 'graph-production-workflow/enrichment-by-mining/citation_matching' },