Home // GEOProcessing 2016, The Eighth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article
Authors:
Claus-Peter Rückemann
Keywords: Knowledge Discovery; Association Processing; Scientific Knowledge Resources; Universal Decimal Classification; Advanced Computing.
Abstract:
Creating sustainable multi-disciplinary knowledge resources and enabling advanced features for processing of associations is one of the major goals of long-term knowledge development and discovery. This paper presents the main results from the development of resources allowing the use of advanced association processing and computation facilities. With the support from such resources, the paper also presents respective association processing results on exploiting the geoscientific and archaeological knowledge resources components. The practical application scenario is based on content from a natural sciences and archaeology research and studies campaign at the ancient city of Kameiros, Greece. The created resources are providing content, structures, and features for exploiting computation facilities, especially a multitude of reference types. The focus is to support knowledge resources with a set of features, which allow to extend and exploit long-term content discovery and gain new insights.
Pages: 69 to 75
Copyright: Copyright (c) IARIA, 2016
Publication date: April 24, 2016
Published in: conference
ISSN: 2308-393X
ISBN: 978-1-61208-469-5
Location: Venice, Italy
Dates: from April 24, 2016 to April 28, 2016