Sharing and Reuse in Knowledge Discovery

M. Atkinson, R. Baxter, P. Brezany, O. Corcho, M. Galea, M. Parsons, D. Snelling, J. van Hemert

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract / Description of output

This chapter explains why the reuse and shareability of all the types of components that are used in knowledge discovery processes can be useful to improve efficiency and productivity. It illustrates the variety of descriptions that are needed for processing elements - this would be extended to functions and types. This metadata is organized as libraries of components. The chapter also shows that these descriptions can be layered according to different types of vocabularies, which focus on different aspects of the description of components. Data analysis ontologies are domain-independent vocabularies that support the broad description of the data analysis tasks undertaken in the knowledge discovery process. Finally, domain ontologies are one of the most important types of ontologies to be considered in this effort to support shareability and reusability of processing elements, functions, and types.
Original languageEnglish
Title of host publicationThe Data Bonanza:Improving Knowledge Discovery in Science, Engineering, and Business
PublisherWiley-IEEE Computer Seciety Press
Number of pages12
ISBN (Print)9781118540343
Publication statusPublished - 2013


Dive into the research topics of 'Sharing and Reuse in Knowledge Discovery'. Together they form a unique fingerprint.

Cite this