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From Knowledge and Meaning Towards Knowledge Pattern Matching: Creating, Processing, and Developing Knowledge Objects, Targeting Geoscientific Context and Georeferencing

Authors:
Claus-Peter Rückemann

Keywords: Conceptual Knowledge Pattern Matching Methodology; Superordinate Knowledge Methodology; Advanced Data-centric Computing; UDC; Geoscientific and Geospatial Scenarios.

Abstract:
This paper presents the results of the long-term research on advanced knowledge based mining enabled by conceptual knowledge frameworks. The paper presents the methodological base of a new algorithm framework of conceptual knowledge pattern matching, allowing the consideration of complementary and descriptive knowledge of meaning and intrinsic object properties. The research is illustrated by practical implementations of knowledge pattern matching, including processing and developing multi-disciplinary and multi-lingual knowledge object entities and resources. Examples in this specialised research concentrate on geoscientific context and georeferencing. The goal of this fundamental research is to create methods of knowledge pattern matching usable with many resources and data collections. The implemented practical approaches are for the first time publicly available with this paper.

Pages: 16 to 21

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-762-7

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020