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NISO vision interview with CORE’s Petr Knoth on the role of text mining in scholarly communication

Authors: David Pride and Catherine Kuliavets

This Vision Interview with Petr Knoth, Senior Research Fellow in Text and Data Mining at the Open University and Head of CORE (, served as the opening segment of the NISO Hot Topic virtual conference, Text and Data Mining, held on May 25, 2022. Todd Carpenter spoke at length with Knoth about the many ways in which text and data mining impacts the present as well as the future. They discussed just how innovative this technology can be for the needs of researchers in the information community.

The National Information Standards Organisation (NISO) is an industry-based, nonprofit, non-governmental association which is accredited by the American National Standards Institute (ANSI) to identify, develop, maintain, and publish voluntary, consensus-based standards for managing information. NISO’s aim is to foster the development and maintenance of standards that facilitate the creation, persistent management, and effective interchange of information so that it can be trusted for use in research and learning. This organisation enables libraries, publishers, and vendors to engage across and solve problems of mutual interest by providing a neutral forum in which they can engage and build consensus.

Petr spoke about the  many use cases and opportunities for text and dat mining in scholarly communication, such as recommender systems, plagiarism detection, fact checking, literature-based discovery, domain-specific information retrieval, etc. and highlighted some of the key gaps that remain to be filled, in particular in supporting open scholarly infrastructure and in standardisation of protocols and data formats. 

The recording is available at Vision Interview with Petr Knoth

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