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Web-based Bibliometric Data Warehouse

Explore the challenges in measuring scientific output and learn about the innovative Bibliometric Information System designed to gather and analyze data from various databases, improving data accuracy and addressing ontological issues.

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Web-based Bibliometric Data Warehouse

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  1. Web-based Bibliometric Data Warehouse Piotr Miklosik Jerzy Nawrocki Piotr Nowicki Poznań University of Technology Faculty of Computing

  2. The problem: how to measure scientific work? • There is no simple way to measure science • Methods of evaluation • Awards • Publications • Citations • How to gather information about scientific work?

  3. Approach to the problem • Citations as a measure of science • Different databases as a source • Ontological problems with bibliometric data that need addressing: • homonym problem – different authors, but the same names • synonym problem – different spelling of a name of an author

  4. Proposed solution to the problem • The Bibliometric Information System - data warehouse with bibliometric data • Dedicated adapters to gather data from different databases (such as ISI, DBLP) • Mechanisms to clean data and solve ontological problems

  5. Thank you Thank you for your attention!

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