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Output details

11 - Computer Science and Informatics

The University of West London

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Article title

Improving understandability of semantic search explanations

Type
D - Journal article
Title of journal
International Journal of Knowledge Engineering and Data Mining
Article number
-
Volume number
1
Issue number
3
First page of article
216
ISSN of journal
1755-2095
Year of publication
2011
URL
-
Number of additional authors
1
Additional information

<22> The long-term goal of explanation-aware software design is to provide methods and tools for systematically engineering comprehensibility into software systems. This paper describes how we improved a semantic search engine, RadSem, in this regard. RadSem is based on formal ontologies and designated for different kinds of users. Semantic search results are often hard to understand. An explanation facility for justifying and exploring search results was integrated into RadSem employing the same ontologies used for searching also for explanation generation. We evaluated the comprehensibility of algorithmically selected concept labels with different user groups using word class frequencies for selecting appropriate labels.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-