Implementing the procedures for creating and maintaining an index of scientific publications

Closed Posted 5 years ago Paid on delivery
Closed

Employer:

Institute of Neuroinformatics

University of Zurich & ETH Zurich

Project Objective:

Creating an ElasticSearch index of scientific publications (metadata and full-text) by aggregating content from various data sources (i.e. scientific publication databases). Keeping the ElasticSearch index updated as new content is added to the data sources. Implementation of a flexible workflow to integrate additional future data sources. Being able to handle changes to the APIs of data sources.

Technologies to use:

Node.js, Python, Elastic Stack, Docker. Open for other suggestions

Data sources (example list):

1) Crossref ([login to view URL]): contains the metadata of all publications having a digital object identifier (DOI). Content can be downloaded by querying the database through a REST API in a rate-limited fashion.

2) MEDLINE/Pubmed ([login to view URL]): contains metadata and abstracts of most publications related to life sciences. Also contains publications not having DOIs. Content can be bulk downloaded.

3) CORE ([login to view URL]): An aggregate database of most open access publications, including full text of some. If full-text is not available (e.g. papers from arXiv), a link is provided to the original source, which should be crawled to fetch the full text content. Contains data from large databases such as arXiv, CiteSeerX. Database can be bulk downloaded.

The workflow should be flexible to include additional data sources as they become available.

Project Parts/Tasks:

Different tasks should be handled by individual Docker microservices

1) Downloading and parsing the entire content of listed data sources and indexing this in individual ElasticSearch indices

2) Parsing PDF files to extract the full-text (unstructured) if data source only provides PDFs (e.g. CORE)

3) Aggregating downloaded content from data sources in an “meta” ElasticSearch index

4) Keeping meta index updated as new publications appear

5) Maintaining the meta index: handling duplicates, handling different versions of a publication (e.g. arXiv preprints vs their final publication in a journal), adding new fields to the index, etc.

6) Index backup, revisioning and rollback tasks

ElasticSearch index fields:

Title, journal, page, publication date, authors, affiliations, abstract, full-text, references, figures, data source, data source ID, DOI…..

[to be extended]

Docker Elasticsearch Node.js Python

Project ID: #18664520

About the project

14 proposals Remote project Active 5 years ago

14 freelancers are bidding on average €17/hour for this job

anashcisoft

Hello, thank you for these complete and clear requirements. I have more than 10 years experience in natural language processing, information retrieval, machine learning and other related fields. I have used Elastic St More

€16 EUR / hour
(18 Reviews)
6.7
adeelpirzada

conside me i can do it in node js and in python also i have 12 years of expeience thanks and good day ahead

€16 EUR / hour
(26 Reviews)
6.4
tangramua

Hi, I'm professional web developer with 17 years experience. I lead a team of developers as well and we can help you with this project. I have great experience with Python and Node.js The main description is cle More

€16 EUR / hour
(14 Reviews)
6.3
seemasit

Hi there, I've gone through the post description carefully and ready to start work on this project. Requirements are very clear but please come over the chat so that i can get more requirements if remaining. Plea More

€16 EUR / hour
(9 Reviews)
5.1
sdam

Dear client, We like to do with python and elastic search with api integration and have to be ongoing support. Please get intouch with us to discuss in detail. Kind regards Mouli

€20 EUR / hour
(1 Review)
3.0
rvpan

I propose building a python web application to handle this requirement. The application modularised into following components. 1. ES connector module which will help us store data to and retrieve data from ES. 2. More

€16 EUR / hour
(0 Reviews)
0.0
cloudseals2017

Greetings from Cloudseals, we are registered Cloud and DevOps service provider from India with team of 14 DevOps team working from Indian. we do have our services rendering in UK, USA and India. it would be great to More

€16 EUR / hour
(0 Reviews)
0.0
pavanbhole99

i am currently working on this technology know everything about it and recently i was worked on this type of condition

€13 EUR / hour
(0 Reviews)
0.0
sharmadhiraj77

Hi, I am dhiraj sharma, I have more than 5 years of experience in mean and mern stack . I have worked with many Fortune 500 clients. I am interested in this project.

€16 EUR / hour
(0 Reviews)
0.0