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Semantics Visualization for Fostering Search Result Comprehension

Stab, Christian and Nazemi, Kawa and Breyer, Matthias and Burkhardt, Dirk and Kohlhammer, Jörn (2012):
Semantics Visualization for Fostering Search Result Comprehension.
Springer, Berlin, Heidelberg, New York, In: The Semantic Web: Research and Applications. Proceedings, In: Lecture Notes in Computer Science (LNCS); 7295, DOI: 10.1007/978-3-642-30284-8₄₉, [Conference or Workshop Item]

Abstract

Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Stab, Christian and Nazemi, Kawa and Breyer, Matthias and Burkhardt, Dirk and Kohlhammer, Jörn
Title: Semantics Visualization for Fostering Search Result Comprehension
Language: English
Abstract:

Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.

Series Name: Lecture Notes in Computer Science (LNCS); 7295
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Digital society, Business Field: Visual decision support, Research Area: Generalized digital documents, Semantic search, Information visualization, Visual search interfaces, SemaVis, Visual query enhancement
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: The Semantic Web: Research and Applications. Proceedings
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-30284-8₄₉
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