University of Oulu

Tuovinen, L. (2017). Towards Software Experts for Knowledge Discovery - A Process Model for Knowledge Consolidation.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 224-232. DOI: 10.5220/0006500502240232

Towards software experts for knowledge discovery : a process model for knowledge consolidation

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Author: Tuovinen, Lauri1
Organizations: 1Biomimetics and Intelligent Systems Group, University of Oulu, P.O. Box 4500, FI-90014, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.7 MB)
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Language: English
Published: SCITEPRESS Science And Technology Publications, 2017
Publish Date: 2019-08-21


The process of knowledge discovery in databases (KDD) is traditionally driven by human experts with in-depth knowledge of the technology used and the domain in which it is being applied. The role of technology in this process is to passively execute the computations specified by the experts, and the role of non-expert humans is limited to a few narrowly defined special cases. However, there are many scenarios where ordinary individuals would benefit from applying KDD to their own personal data, if only they had the means to do so. Meanwhile, KDD experts are looking for more advanced tools and methods capable of coping with the challenges posed by big data. Both these needs would be addressed by autonomous software experts capable of taking on some of the responsibilities of human KDD experts, but there are several obstacles that need to be cleared before the implementation of such experts is feasible. One of these is that while there is a widely accepted process model for kno wledge discovery, there is not one for knowledge consolidation: the process of integrating a KDD result with established domain knowledge. This paper explores the requirements of the knowledge consolidation process and outlines a process model based on how the concept of knowledge is understood in KDD. Furthermore, it evaluates the state of the art and attempts to estimate how far away we are from achieving the necessary technology level to implement at least one major step of the process in software. Finally, the options available for making significant advances in the near future are discussed.

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ISBN Print: 978-989-758-271-4
Volume: 1
Pages: 224 - 232
DOI: 10.5220/0006500502240232
Host publication: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
Host publication editor: Fred, Ana
Filipe, Joaquim
Conference: International joint conference on knowledge discovery, knowledge engineering and knowledge management
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Copyright information: © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.