Esploro Smart Harvesting AI

Use artificial intelligence to manage accurate and complete research information

Smart Harvesting AI keeps the Esploro research repositories and researcher profiles comprehensive, accurate and up to date. It automatically captures research output and data, improving an institution’s ability to showcase its research, enrich its reporting, and relieve administrative burden.

Reduce administrative burden
Artificial intelligence automates the collection and matching of publications and data to reduce manual work.
Auto-matching researchers to output
Accurately and efficiently links authors and their work at scale, assessing mass volumes of scholarly output.
Searching billions of records
Uncovers relevant research assets in local databases, national and disciplinary repositories and among 5 billion records in the Ex Libris Central Discovery Index.

Data and publication curation

Esploro connects researchers to their works using a multi-step approach which starts during the implementation phase and continues with ongoing updates.

Includes publications, datasets, awarded grants, projects, patents, creative works, media mentions and more – all linked.
Rich, auto-populated metadata increases discoverability via search engines.
Information gathered from a massive set of output records in the Ex Libris Central Discovery Index (CDI), researcher publication lists, and ORCID profiles.
Covers all disciplines, including STEM, Humanities, Social Sciences and the Arts.

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Author Matching AI

The Author Matching AI algorithm powers the Smart Harvesting process by removing duplicates and creating relationships between authors and publications.

Learns all variants of a researcher’s name, affiliations and specializations, years of professional activity, previously known assets, and more.
Cross-checks known data points with new records, semantic contexts, subject matter, co-authors, metadata, and more.
Rapidly assesses the likelihood of a given output being the product of a specific researcher.
Universities using Esploro see an immediate and significant increase in the number of linked assets per researcher.

Machine learning algorithm

Smart Harvesting’s ability to rapidly fill information gaps becomes even more evident as engagement with Esploro continues over time and the algorithm keeps learning.

Unique machine learning algorithms identify the relationships, correlations and patterns that emerge from a large set of research outputs and profiles.
Natural language processing reveals how close to one another selected words are likely to be, and in what combinations, across all examined records.
With periodic checks for new outputs, the solution continuously grows the number of Esploro outputs.
The more information collected, the more accurately and consistently each researcher’s profile will be populated.

Profile Enrichment Service

The Esploro Profile Enrichment Service relieves the burden of profile creation and enrichment work from the institution. If opting for this service, Clarivate will manage the automated and manual processes required to connect publications from several sources to your authors.

Reduce rollout time and gain a rich portal and comprehensive profiles that demonstrate the Esploro value to researchers, department heads and other stakeholders.
Reduce the workload associated with building a comprehensive, retrospective, collection of your researchers’ publications. Clarivate will run the automated tools, review results and assist with corrections for accuracy.