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Cooperative Techniques for Dealing with Unsatisfactory Answers in RDF Knowledge Bases

Abstract : When querying Knowledge Bases, users are faced with large sets of data, often without knowing their underlying structures. It follows that users may make mistakes when formulating their queries, therefore receiving an unhelpful response. These unhelpful responses have been categorized into five types that consider either the number of results returned or the content of the results. These problems have been studied individually, and a category of proposed solutions involves modifying the original query in order to produce answers better suited to the user requirement. Similarities between the five problems suggest that techniques developed for one problem could be used to improve the treatment of the others. The goal of this PhD thesis is to propose a unified framework to deal with unexpected or unsatisfactory answers. In this paper, we analyse the state of the art on the unexpected answer problems and discuss the similarities between them, present our first contribution towards generalising the problems and present our future work.
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Contributor : Louise Parkin Connect in order to contact the contributor
Submitted on : Wednesday, September 29, 2021 - 6:46:56 PM
Last modification on : Wednesday, October 20, 2021 - 3:22:25 AM


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  • HAL Id : hal-03359058, version 1



Louise Parkin. Cooperative Techniques for Dealing with Unsatisfactory Answers in RDF Knowledge Bases. VLDB2021 - PhD Workshop, Aug 2021, Copenhagen, Denmark. ⟨hal-03359058⟩



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