Home // INFOCOMP 2020, The Tenth International Conference on Advanced Communications and Computation // View article
Authors:
Claus-Peter Rückemann
Keywords: Structure-based methods; Information Science; Computation and Processing; Knowledge Complements; UDC.
Abstract:
This paper delivers new results from the long-term information science research on creation and deployment of structure and structural information for problem solving. The paper presents the new methodological base and methodology focussing on structure-based fusion solutions and implementations for computational scenarios, especially advanced knowledge-centric mining. Information science interrelations and knowledge complements used for pattern matching and processing are fundaments for mastering these challenges. Facilities for combination of complementary and descriptive knowledge of meaning and intrinsic object properties are essential means. The research is illustrated by advanced practical implementations of knowledge pattern matching, including challenges of computation and processing of multi-disciplinary and multi-lingual knowledge object entities and resources. The goal of this fundamental research is to create structure-based methods for efficient problem solving. Case studies implement the method to consistently integrate knowledge context from prehistory and archaeology disciplines with knowledge in natural sciences and humanities. Previously unpublished insights are available with this publication.
Pages: 1 to 6
Copyright: Copyright (c) IARIA, 2020
Publication date: September 27, 2020
Published in: conference
ISSN: 2308-3484
ISBN: 978-1-61208-807-5
Location: Lisbon, Portugal
Dates: from September 27, 2020 to October 1, 2020