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Authors: Vanessa N. Michalke and Kerstin Hartig

Affiliation: TU Berlin, Germany

Keyword(s): Explanation Retrieval, Spreading Activation, Pattern Recognition, Information Retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Intelligence Applications ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; User Profiling and Recommender Systems

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.

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Paper citation in several formats:
N. Michalke, V. and Hartig, K. (2016). Explanation Retrieval in Semantic Networks - Understanding Spreading Activation based Recommendations. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 291-298. DOI: 10.5220/0006050502910298

@conference{kdir16,
author={Vanessa {N. Michalke}. and Kerstin Hartig.},
title={Explanation Retrieval in Semantic Networks - Understanding Spreading Activation based Recommendations},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR},
year={2016},
pages={291-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006050502910298},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR
TI - Explanation Retrieval in Semantic Networks - Understanding Spreading Activation based Recommendations
SN - 978-989-758-203-5
IS - 2184-3228
AU - N. Michalke, V.
AU - Hartig, K.
PY - 2016
SP - 291
EP - 298
DO - 10.5220/0006050502910298
PB - SciTePress