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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.  ...  INTRODUCTION I N THIS paper we present iQbees, a prototype system for Interactive Query-By-Example Entity Search on semantic knowledge graphs.  ...  By using the demo application a user, interested in a particular entity present in the semantic knowledge graph, can query the graph to find similar entities.  ... 
doi:10.15439/2016f562 dblp:conf/fedcsis/SydowSSM16 fatcat:far7gxfchnha3bx2s2fsd7husm

iQbees: Towards Interactive Semantic Entity Search Based on Maximal Aspects [chapter]

Grzegorz Sobczak, Mateusz Chochół, Ralf Schenkel, Marcin Sydow
2015 Lecture Notes in Computer Science  
Acknowledgements This work is partially supported by:  ...  IQBEES (Interactive QBEES) the user iteratively selects (relevance feedback) example entities one by one to refine some concept represented by the entites A Knowledge Graph KG is a directed multi-graph  ...  Motivations QBEES (Query By Entity Example Search) given set of entities find an entity that maximally resembles all of them (e.g. replacement of a particular person or part, etc.)  ... 
doi:10.1007/978-3-319-25252-0_28 fatcat:vk32kek2vvfzpfc7ycra2gacia