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Semantic Network Skeleton - A Tool to Analyze Spreading Activation Effects

Authors:
Kerstin Hartig
Thomas Karbe

Keywords: Spreading Activation; Information Retrieval; Semantic Network; Advisory System

Abstract:
Spreading Activation algorithms are a well-known tool to determine relevance of nodes in a semantic network. Although often used, the configuration of a spreading activation algorithm is usually very problem-specific, and experience-driven. There are practically no guidelines or tools to help with the task. In this paper, we present semantic network skeletons, which are essentially a structural summary of a semantic network. We show how to derive the skeleton from a given semantic network, and how to derive conclusions about good configurations from it. Our results are then demonstrated in a case study from the automotive domain.

Pages: 126 to 131

Copyright: Copyright (c) IARIA, 2016

Publication date: April 24, 2016

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-472-5

Location: Venice, Italy

Dates: from April 24, 2016 to April 28, 2016