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Add the documentation about the PDF Aggregation Service.

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Lampros Smyrnaios 2023-07-03 17:57:30 +03:00
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docs/graph-production-workflow/enrichment-by-mining/enrichment-by-mining.md
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@ -3,6 +3,16 @@ import DocCardList from '@theme/DocCardList';
# Enrichment by mining
The OpenAIRE Research Graph is enriched using the different Text and Data Mining (TDM) algorithms that are grouped in the following categories.
**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.
<DocCardList />
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>