Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7136
Main Title: Explanation Retrieval in Semantic Networks
Subtitle: Understanding Spreading Activation based Recommendations
Author(s): Michalke, Vanessa N.
Hartig, Kerstin
Type: Conference Object
Language Code: en
Abstract: Spreading Activation is a well-known semantic search technique to determine the relevance of nodes in a semantic network. When used for decision support, meaningful explanations of semantic search results are crucial for the user’s acceptance and trust. Usually, explanations are generated based on the original network. Indeed, the data accumulated during the spreading activation process contains semantically extremely valuable information. Therefore, our approach exploits the so-called spread graph, a specific data structure that comprises the spreading progress data. In this paper, we present a three-step explanation retrieval method based on spread graphs. We show how to retrieve the most relevant parts of a network by minimization and extraction techniques and formulate meaningful explanations. The evaluation of the approach is then performed with a prototypical decision support system for automotive safety analyses.
URI: https://depositonce.tu-berlin.de//handle/11303/7973
http://dx.doi.org/10.14279/depositonce-7136
Issue Date: 2016
Date Available: 26-Jun-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): Explanation Retrieval
Spreading Activation
Pattern Recognition
Information Retrieval
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Publisher: Scitepress
Publisher Place: Setúbal
Volume: 2016
Publisher DOI: 10.5220/0006050502910298
Page Start: 291
Page End: 298
ISBN: 978-989-758-203-5
Appears in Collections:FG IT-basierte Fahrzeuginnovationen » Publications

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