2016
DOI: 10.15439/2016f562
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iQbees: Interactive Query-by-example Entity Search in Semantic Knowledge Graphs

Abstract: Abstract-We present IQBEES, a novel prototype system for similar entity search by example on semantic knowledge graphs that is based on the concept of maximal aspects. The system makes it possible for the user to provide positive and negative relevance feedback to iteratively refine the information need. The maximal aspects model supports diversity-aware results.

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Cited by 2 publications
(1 citation statement)
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“…Furthermore, selecting by the user an entity from the result set can serve as a kind of relevance feedback in a possible interactive extension of our model to make it possible to refine the results in an iterative way. Such an extension of our model deserves a separate publication and is preliminarily presented and discussed in (Sydow et al 2016;Sobczak et al 2015).…”
Section: Maximal Aspects Support Diversity and Intent-awarenessmentioning
confidence: 97%
“…Furthermore, selecting by the user an entity from the result set can serve as a kind of relevance feedback in a possible interactive extension of our model to make it possible to refine the results in an iterative way. Such an extension of our model deserves a separate publication and is preliminarily presented and discussed in (Sydow et al 2016;Sobczak et al 2015).…”
Section: Maximal Aspects Support Diversity and Intent-awarenessmentioning
confidence: 97%