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Carole Goble

Researcher at University of Manchester

Publications -  532
Citations -  31208

Carole Goble is an academic researcher from University of Manchester. The author has contributed to research in topics: Workflow & Ontology (information science). The author has an hindex of 74, co-authored 511 publications receiving 26919 citations. Previous affiliations of Carole Goble include University of Southampton & Victoria University of Manchester.

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Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search

TL;DR: The results provide clear evidence that data science should adopt single-field natural language search interfaces for variable search supporting in particular: query reformulation; data browsing; faceted search; surrogates; relevance feedback; summarization, analytics, and visual presentation.

Results may vary: reproducibility, open science and all that jazz

TL;DR: This talk will explore questions drawing on 20 years of experience in both the development of technical infrastructure for Life Science and the social infrastructure in which Life Science operates, as a keynote at the 2013 joint conference Intelligent Systems in Molecular Biology/European Conference on Computational Biology.

Applying linked data approaches to pharmacology: Architectural decisions and

TL;DR: This application report describes a linked data platform for integrating multiple pharmacology datasets that form the basis for several drug discovery applications, drawn from a collection of prioritised drug discovery business questions created as part of the Open PHACTS project.
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The Specimen Data Refinery: A Canonical Workflow Framework and FAIR Digital Object Approach to Speeding up Digital Mobilisation of Natural History Collections

TL;DR: It is shown how computer vision, optical character recognition, handwriting recognition, named entity recognition and language translation technologies can be implemented into canonical workflow component libraries with findable, accessible, interoperable, and reusable (FAIR) characteristics.
Journal ArticleDOI

Identifiers.org: Compact Identifier services in the cloud.

TL;DR: A set of services that can be used to construct and resolve CIDs in Life Sciences and beyond are described, including a new front end for accessing the Identifier.org registry data and APIs to simplify integration of Identifiers.org CID services with third-party applications.