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QBEES: query-by-example entity search in semantic knowledge graphs based on maximal aspects, diversity-awareness and relaxation

Steffen Metzger, Ralf Schenkel, Marcin Sydow
2017 Journal of Intelligent Information Systems  
Our approach based on maximal aspects provides natural diversity awareness and includes query-dependent and query-independent entity ranking components.  ...  Within such knowledge bases, an important search task is finding similar entities based on one or more example entities.  ...  We would like to thank Grzegorz Sobczak for providing additional experimental evaluation results of QBEES on the QALD3 and QALD4 data sets, his work was supported by the European Union under the European  ... 
doi:10.1007/s10844-017-0443-x fatcat:i3ybfzjs35dvveoh7to7nbkuyq

iQbees: Interactive Query-by-example Entity Search in Semantic Knowledge Graphs

Marcin Sydow, Grzegorz Sobczak, Ralf Schenkel, Krzysztof Mioduszewski
2016 Proceedings of the 2016 Federated Conference on Computer Science and Information Systems  
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.  ...  INTRODUCTION I N THIS paper we present iQbees, a prototype system for Interactive Query-By-Example Entity Search on semantic knowledge graphs.  ... 
doi:10.15439/2016f562 dblp:conf/fedcsis/SydowSSM16 fatcat:far7gxfchnha3bx2s2fsd7husm

Semantically Enriched Models for Entity Ranking [chapter]

Krisztian Balog
2018 Advanced Topics in Information Retrieval  
Knowledge bases organize information about entities in a structured and semantically meaningful way.  ...  Our efforts in this chapter are driven by the following question: How can one leverage structured knowledge repositories in entity retrieval?  ...  In QBEES, these possible interpretations are covered by the compound aspects. Further, the concept of maximal aspect is designed such that it naturally provides diversity-awareness.  ... 
doi:10.1007/978-3-319-93935-3_4 fatcat:xsri53xoxzc5rmgk4fp6kqj7ti

Example-driven query intent discovery

Anna Fariha, Alexandra Meliou
2019 Proceedings of the VLDB Endowment  
In this paper, we present SQUID, a system that performs semantic similarity-aware query intent discovery.  ...  Query by Example (QBE) methods offer an alternative mechanism: users provide examples of their intended query output and the QBE system needs to infer the intended query.  ...  Acknowledgements: This material is based upon work supported by the NSF under grants CCF-1763423 and IIS-1453543. We thank Quoc Trung Tran for sharing the source code of TALOS.  ... 
doi:10.14778/3342263.3342266 fatcat:pv2mrispx5b7jo3gm5mxinbp54

User-centric knowledge extraction and maintenance [article]

Steffen Metzger, Universität Des Saarlandes, Universität Des Saarlandes
Summary and Future Work In this chapter we discussed our aspect aware aspect based entity similarity model in detail and extended it by relaxation of the aspects to expand the search space.  ...  As the relaxing approaches have the potential to provide less diverse results early on compared to the non-relaxing variants (by first exploring a maximal aspect by relaxation), they are weaker with respect  ...  Provenance based Document Retrieval A.1.1. Queries In this query we are interested in the birth and death of Abraham Lincoln.  ... 
doi:10.22028/d291-26563 fatcat:7eznlxojjvge5hyzfxhdgb4uny