Home // International Journal On Advances in Software, volume 13, numbers 3 and 4, 2020 // View article
Authors:
Claus-Peter Rückemann
Keywords: Knowledge Context Creation; Georeferencing; Archaeology and Geosciences; Superordinate Knowledge; Conceptual Knowledge Pattern Matching Methodology.
Abstract:
This paper presents the long-term research results on context creation and georeferencing, deploying advanced knowledge based mining, enabled by conceptual knowledge frameworks. The goal of this fundamental research is to systematically develop advanced information science tools and knowledge-based methods, gaining new insights for complex archaeological, prehistorical, and geoscientific contexts. The vast resources and data collections are otherwise not practically available to archaeologists and geoscientists. The paper presents the methodological base of an innovative 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. This specialised research concentrates on geoscientific context and georeferencing. The demonstration of a previously unpublished practical information science case study from classical archaeology, prehistory, and geosciences shows automated knowledge context creation and georeferencing.
Pages: 240 to 251
Copyright: Copyright (c) to authors, 2020. Used with permission.
Publication date: December 30, 2020
Published in: journal
ISSN: 1942-2628