2013 CrossRef Workshops Text Data Mining Geoffrey Bilder

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2013 CrossRef Workshops presentation on Text and Data Mining by Geoffrey Bilder.

Transcript of 2013 CrossRef Workshops Text Data Mining Geoffrey Bilder

Geoffrey Bilder Director of Strategic Initiatives

Cambridge, MA 2013

Introducing CrossRef Prospect

Geoffrey Bilder Director of Strategic Initiatives

Taking the tedium out of TDM….

Text & Data Mining

Gold

Diamond

Text & Data ?

The Problem

Ceramic Society Of Japan * Cevre Koruma Ve Arastirma Vakfi * Cfa Institute * Channel View Publications, Ltd * Chartered Institution Of

Building Service Engineers * Chattagram Maa-O-Shishu Hospital Medical College * Chelonian Conservation And Biology Journal * Chelonian Research Foundation * Chem-Bio Informatics Society * Chemical Engineering Diponegoro University * Chemical Science

Transactions * Chemical Society Of Japan * Chiang Mai University * Children, Youth And Environments Center * Chimera Innova Group * China Agricultural University * China Communications Magazine,

Co., Ltd. * China Journal Of Chinese Materia Medica * China Petroleum Industry Press * China Science Publishing & Media Ltd. * Chinese Astronomical Society * Chinese Birds * Chinese Birds (Press) * Chinese Civilisation Centre * Chinese Geoscience Union * Chinese

Institute Of Automation Engineers (Ciae) * Chinese Journal Of Mechanical Engineering * Chinese Mathematical Society * Chinese Physical Society * Chinese Physiological Society * Chinese Society

Of Theoretical And Applied Mechanics * Chonnam National University Medical School (Kamje) * Christ University Bangalore *

• All parties would benefit from support of standard APIs and data representations in order to enable TDM across both open access and subscription-based publishers. • Subscription-based publishers find it impractical to negotiate multiple bilateral agreements with thousands of researchers and institutions in order to authorize TDM of subscribed content.

• Researchers find it impractical to negotiate multiple bilateral agreements with hundreds of subscription-based publishers in order to authorize TDM of subscribed content.

Common API

DOI Content

Negotiation

http://dx.doi.org/10.5555-12345678

(Accept: text/html)

http://dx.doi.org/10.5555-12345678

(Accept: application/bibjson+json)

New Metadata

Full Text Link

License Information

Rate Limiting(Optional)

Prospect HTTP Headers

CR-Prospect-Rate-Limit: 1500!(the rate limit ceiling per window on Prospect requests) !

CR-Prospect-Rate-Limit-Remaining: 1387!(number of requests left for the current window) !

CR-Prospect-Rate-Limit-Reset: 1378072800!(the remaining time in UTC epoch seconds before the rate limit resets and a new window is started)

*this is a technique used by many APIs, including Twitter’s

Common API Summary

• Content Negotiation (Required)

• New Metadata (Required)

• Full text URIs

• License URIs

• Rate Limiting Headers (optional)

Stop here if

• You are an open access publisher

• You include TDM as a part of your subscription license/T&Cs.

Click-Through License Service

(Optional)

Research queries DOI using CN + API token

Publisher verifies API token with Prospect

If token verified AND access control allows, publisher returns full text

(frequency at publisher discretion)

Research queries DOI using CN + API token

curl -H "Accept: text/turtle" "http://dx.doi.org/10.5555/515151" -D - -L !

Link: <http://data.crossref.org/full-text/10.5555/515151>; rel="http://id.crossref.org/schema/full-text"; anchor="http://annalsofpsychoceramics.labs.crossref.org/fulltext/515151/515151.pdf"

Publisher verifies API token with Prospect

curl -H "CR-Prospect-Publisher-Token: MdvA59fGn8ukykYlSxJL6g" "https://prospect.crossref.org/licenses/hZqJDbcbKSSRgRG_PJxSBA" -D - -L!

{ "result": "ok", "message": "licenses", "orcid": "0000-0002-1825-0097", "given_names": "Josiah", "family_name": "Carberry", "licenses": [ { "uri": "http://www.crossref.org/tdm_license", "status": "rejected", "reviewed_at": "2013-05-28T17:09:36+00:00" }, { "uri": "http://www.oxygenxml.com/", "status": "read", "reviewed_at": "2013-05-29T12:08:59+00:00" } ] }

Sustainability Model

• New initiatives are always optional to our members. Members who do not participate in our new initiatives will not be charged for them.

• We do not charge end-users (e.g. researchers, librarians) for access to metadata and APIs

• We sometimes charge intermediaries for access to our services (to cover the cost of administration, maintaining SLAs, etc.)

• We do not charge our members for depositing extra metadata into our services

• We sometimes charge our members for the cost of administering our services, maintaining SLAs, development, etc.

• We eschew charging mechanisms that involve complex administrative overhead. The cost of developing and running them generally negates the revenue raised by implementing them.

• We try to tie any charges as directly as possible to where costs are incurred.

Current State

Prospect Working Group• AAAS: Walter Jones, Stewart Wills, Deborah Rivera-Wienhold

• American Institute of Physics: Evan Owens,

• American Physical Society: Mark Doyle

• Elsevier: Chris Shillum, Ale de Vries

• HighWire: John Sack, Craig Jurney

• Institute of Physics Publishing: Graham McCann, James Walker

• Springer: Chinchu Ann Belarmin, Michiel van der Heyden

• Taylor & Francis: Gillian Howcroft

• Walter de Gruyter: Bettina de Keijzer

• Wiley: Edward Wates, Alan Bacon

• CrossRef: Geoffrey Bilder, Chuck Koscher, Ed Pentz, Carol Meyer, Kirsty Meddings.

• DOI Content Negotiation

• CrossRef support for recording links to full text

• CrossRef metadata Search for Discovery

• CrossRef metadata support for license URIs

• Click-through TDM license registry

• Prospect publisher API for verifying, managing

tokens

•Sample publisher code

•Sample researcher code

Exists

Exists

Exists

Exists

Exists

✻ being extended to support mime-types

CrossRef

Exists

Exists

Exists

We are using CrossRef's Prospect text mining API in the context of the Hiberlink project, which investigates reference rot in scholarly papers at a very large scale. The API is really straightforward and based on common technical approaches; it can easily be integrated in a broader workflow. In our case, we have a work bench that monitors newly published papers, obtains their XML version via the API, extracts all HTTP URIs, and then crawls and archives the referenced content. Currently, we can only access Elsevier papers via the API but as more publishers join Prospect, it will become a powerful, uniform one-stop-shop for text mining scholarly literature.

--Martin Klein and Herbert Van de Sompel, Los Alamos National Laboratory

I think this is a big step in the right direction and makes retrieving full text file a lot easier, I hope that publishers support it. --Maximilian Haeussler, UCSD

What do I need to do?

Publishers (required)

• Register full-text URLs with CrossRef

• Register <lic_ref> well-known license URIs with CrossRef

Publishers (optional)

• Register click-through proprietary licenses with Prospect click-through service

• Adapt platform APIs to handle Prospect API tokens

Researchers

• Register with Prospect and accept/decline licenses

• Modify TDM tools to look for <lic_ref> elements

• Modify TDM tools to make use of Prospect API token

gbilder@crossref.org

kmeddings@crossref.org

gbilder@crossref.orgThank You